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CN107907834A - Current drift bearing calibration, system and the device of a kind of battery management system - Google Patents

Current drift bearing calibration, system and the device of a kind of battery management system Download PDF

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Publication number
CN107907834A
CN107907834A CN201711007506.5A CN201711007506A CN107907834A CN 107907834 A CN107907834 A CN 107907834A CN 201711007506 A CN201711007506 A CN 201711007506A CN 107907834 A CN107907834 A CN 107907834A
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current
battery
drift
voltage
management system
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CN107907834B (en
Inventor
唐晓鹏
胡文贵
夏永晓
贺振伟
姚科
高福荣
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Guangzhou HKUST Fok Ying Tung Research Institute
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Guangzhou HKUST Fok Ying Tung Research Institute
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/32Compensating for temperature change
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/3644Constructional arrangements
    • G01R31/3648Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/374Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with means for correcting the measurement for temperature or ageing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3842Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Secondary Cells (AREA)

Abstract

本发明公开了一种电池管理系统的电流漂移校正方法、系统及装置,方法包括:对电流传感器的测量结果进行温度漂移修正,得到温度漂移修正后的电流;建立电池模型,并计算建立的电池模型与电池实际测量电压的电压残差;根据计算的电压残差计算电流传感器的漂移电流;将温度漂移修正后的电流与电流传感器的漂移电流相加,得到电池管理系统的电流真实值。系统包括温度漂移修正模块、电压残差计算模块、漂移电流计算模块和电流真实值获取模块。装置包括存储器和处理器。本发明通过将温度漂移修正后的电流与漂移电流相加的电流真实值实现了对电流传感器电流的闭环修正,测量误差小、鲁棒性好和兼容性良好,可广泛应用于电池的均衡领域。

The invention discloses a current drift correction method, system and device of a battery management system. The method includes: performing temperature drift correction on the measurement results of a current sensor to obtain the current after temperature drift correction; establishing a battery model and calculating the established battery The voltage residual between the model and the actual measured voltage of the battery; the drift current of the current sensor is calculated according to the calculated voltage residual; the current after temperature drift correction is added to the drift current of the current sensor to obtain the actual current value of the battery management system. The system includes a temperature drift correction module, a voltage residual calculation module, a drift current calculation module and a current actual value acquisition module. The device includes memory and a processor. The present invention realizes the closed-loop correction of the current sensor current by adding the current corrected by the temperature drift to the true current value of the drift current, has small measurement error, good robustness and good compatibility, and can be widely used in the field of battery equalization .

Description

Current drift bearing calibration, system and the device of a kind of battery management system
Technical field
The present invention relates to the balanced field of battery, the current drift bearing calibration of especially a kind of battery management system, be System and device.
Background technology
Due to cost considerations, the current sensor of battery management system actual use is often there are certain drift value, Precision is not high.When the state to accumulation type measures (during as using Current integrating method estimation battery dump energy), battery Management system is easy to that the Divergent Phenomenon brought by current sensor drift occurs.For this reason, it is necessary to current sensor is floated Shifting is corrected, and reduces measurement error.
The method that existing drift correction technology mainly samples open loop carrys out corrective current sensor drift, or in zero current When to current sensor drift be modified, robustness of this kind of method to different use environments, temperature or sensor model number Difference, compatibility are bad.
The content of the invention
In order to solve the above technical problems, the first object of the present invention is:There is provided that a kind of measurement error is small, robustness is good and Compatible good, the current drift bearing calibration of battery management system.
The second object of the present invention is:There is provided that a kind of measurement error is small, robustness is good and compatible good, cell tube The current drift correction system of reason system.
The third object of the present invention is:There is provided that a kind of measurement error is small, robustness is good and compatible good, cell tube The current drift means for correcting of reason system.
The first technical solution for being taken of the present invention is:
A kind of current drift bearing calibration of battery management system, comprises the following steps:
Temperature drift amendment is carried out to the measurement result of current sensor, obtains the revised electric current of temperature drift;
Battery model is established, and calculates the voltage residual error of the battery model and the actual measurement voltage of battery of foundation;
According to the drift current of the voltage residual computations current sensor of calculating;
The revised electric current of temperature drift is added with the drift current of current sensor, obtains the electricity of battery management system Flow actual value.
Further, the measurement result to current sensor carries out temperature drift amendment, after obtaining temperature drift amendment Electric current the step for, specifically include:
The offline measurement result obtained when current sensor measures different electric currents at different temperatures;
The actual value of the measurement result obtained offline and current sensor is subjected to numerical fitting, the survey obtained offline The fit correlation f () of the actual value RI of result MI and current sensor is measured, the expression formula of the fit correlation f () is:RI=f (MI, T), wherein, T is temperature;
According to obtained fit correlation f (), the revised electric current of temperature drift is calculated.
Further, it is described to establish battery model, and calculate the voltage of the battery model and the actual measurement voltage of battery of foundation The step for residual error, specifically include:
The battery model of stand-by battery is obtained offline;
The voltage residual error of the battery model and the actual measurement voltage of battery established is calculated according to the battery model obtained offline.
Further, it is described obtain stand-by battery offline battery model the step for, specifically include:
The OCV-SOC scatterplot tables of stand-by battery at different temperatures are obtained offline, and are dissipated according to the OCV-SOC obtained offline Point table obtains the battery model of stand-by battery with function-fitting method, wherein, OCV is the open-circuit voltage of stand-by battery, and SOC is stand-by The remaining capacity of battery;
Obtain the DC internal resistance of stand-by battery, the method for the DC internal resistance for obtaining stand-by battery include off-line method and In any of line method, the expression formula of the DC internal resistance DCR of the stand-by battery is:DCR=Δ V/ Δ I, wherein, Δ V For the front and rear voltage difference of stand-by cell voltage V mutation, Δ I is the front and rear current differential of stand-by battery current I mutation;
The terminal voltage of stand-by battery, the stand-by battery are calculated according to the battery model of stand-by battery and DC internal resistance DCR Terminal voltage Vt calculation formula be:Vt=OCV+I*DCR.
Further, the battery model that the basis obtains offline calculates the battery model and the actual measurement voltage of battery established Voltage residual error the step for, specifically include:
Determine the SOC of stand-by battery, the definite method of the SOC of the stand-by battery includes manually setting, from the last time Record any of reading and OCV-SOC calibrations in data;
Measure the actual terminal voltage Ut of stand-by battery;
The terminal voltage Vt of stand-by battery model is calculated according to the SOC of stand-by battery;
According to the terminal voltage Vt of the actual terminal voltage Ut of stand-by battery and stand-by battery model, the battery model of foundation is calculated With the voltage residual error of the actual measurement voltage of battery, the voltage residual error Err of the battery model and the actual measurement voltage of battery is calculated Formula is:Err=Ut-Vt.
Further, the step for the drift current according to the voltage residual computations current sensor of calculating, it is specially:
According to the drift current of the voltage residual computations current sensor of calculating, the drift current meter of the current sensor Calculating formula is:Iflo (k+1)=a*Iflo (k)+g (Err), wherein, Err is the voltage residual error calculated, and a is 0~1 constant, Iflo (k+1) and Iflo (k) is respectively the current drift current of current sensor and last drift current, and g (Err) serves as reasons The current drift changing value that voltage residual error Err is determined.
Further, the computational methods of the current drift changing value g (Err) include linear method and proportional, integral method Any of, corresponding g (Err) expression formula of the linear method is:G (Err)=K*Err, wherein K are greater than 0 constant; Corresponding g (Err) expression formula of the proportional, integral method is:G (Err)=K1*Err+K2* ∫ Err;Wherein K1 and K2 is big In 0 constant, ∫ is integral sign.
Further, it is further comprising the steps of:
Inputted using the electric current actual value of battery management system as electric current, the surplus of battery is estimated using the method for current integration Remaining electricity.
The second technical solution for being taken of the present invention is:
A kind of current drift correction system of battery management system, including:
Temperature drift correcting module, for carrying out temperature drift amendment to the measurement result of current sensor, obtains temperature Electric current after drift correction;
Voltage residual computations module, for establishing battery model, and calculates battery model and the actual measurement of battery of foundation The voltage residual error of voltage;
Drift current computing module, the drift current for the voltage residual computations current sensor according to calculating;
Electric current actual value acquisition module, for by the drift current phase of the revised electric current of temperature drift and current sensor Add, obtain the electric current actual value of battery management system.
The 3rd technical solution taken of the present invention is:
A kind of current drift means for correcting of battery management system, including:
Memory, for storing program;
Processor, for loading described program to perform a kind of electricity of battery management system as described in the first technical solution Flow drift correction method.
The present invention method beneficial effect be:First using the conventional modified method of temperature drift to current sensor Measurement result carries out preliminary temperature drift amendment;Next establishes accurate battery model, actual by battery model and battery The contrast of voltage is measured, obtains voltage residual error;Recycle the drift of the further calculating current sensor of voltage residual error;Finally by temperature Electric current after degree drift correction is added with drift current, obtains the electric current actual value of battery management system, technical side of the invention Case is additionally arranged according to voltage residual error the method to carry out further drift correction on the basis of existing temperature drift modification method, One of origin cause of formation that voltage residual error between the voltage of model output and the voltage truly measured is drifted about as current sensor, leads to Crossing realizes the electric current actual value that the revised electric current of temperature drift is added with drift current to current sensor electric current Closed-cycle correction, current measurement result error smaller, adapts to the requirement of different use environments, temperature or sensor model number, Robustness is good, and implementation complexity is low, and without additional hardware, cost is low, and result can directly with most of existing cell tube Manage system schema to combine, there is good compatibility.
The present invention system beneficial effect be:Using conventional temperature drift amendment first in temperature drift correcting module Method preliminary temperature drift amendment is carried out to the measurement result of current sensor;Secondly built in voltage residual computations module Accurate battery model is found, by the contrast of the actual measurement voltage of battery model and battery, obtains voltage residual error;Again in drift electricity The drift of the further calculating current sensor of voltage residual error is utilized in stream calculation module;Finally in electric current actual value acquisition module The revised electric current of temperature drift is added with drift current, obtains the electric current actual value of battery management system, skill of the invention Art scheme is additionally arranged according to voltage residual error on the basis of existing temperature drift modification method to carry out further drift correction Method, using the voltage residual error between the voltage of model output and the voltage that truly measures as current sensor drift about into therefore One, realized by the electric current actual value for being added the revised electric current of temperature drift with drift current to current sensor The Closed-cycle correction of electric current, current measurement result error smaller, adapts to wanting for different use environments, temperature or sensor model number Ask, robustness is good, and implementation complexity is low, and without additional hardware, cost is low, and result can directly with most of existing battery Management system scheme combines, and has good compatibility.
The device of the invention beneficial effect is:The program of processor load store device storage is first using conventional temperature drift Move modified method and preliminary temperature drift amendment is carried out to the measurement result of current sensor;Next establishes accurate battery mould Type, by the contrast of the actual measurement voltage of battery model and battery, obtains voltage residual error;Voltage residual error is recycled further to calculate The drift of current sensor;Finally the revised electric current of temperature drift is added with drift current, obtains battery management system Electric current actual value, technical scheme be additionally arranged on the basis of existing temperature drift modification method according to voltage residual error come The method for carrying out further drift correction, using the voltage residual error between the voltage of model output and the voltage truly measured as electricity One of origin cause of formation of flow sensor drift is true by the electric current for being added the revised electric current of temperature drift with drift current Value realizes the Closed-cycle correction to current sensor electric current, current measurement result error smaller, adapt to different use environments, The requirement of temperature or sensor model number, robustness is good, and implementation complexity is low, and without additional hardware, cost is low, and result can be straight Connect and combined with most of existing battery management system scheme, there is good compatibility.
Brief description of the drawings
Fig. 1 is a kind of step flow chart of the current drift bearing calibration of battery management system of the present invention;
Fig. 2 is a kind of specific implementation flow chart of the current drift bearing calibration of the present invention;
Fig. 3 is 1 D.C. resistance of the embodiment of the present invention and the graph of a relation of SOC;
Fig. 4 is the comparison diagram of drift current value and true drift current value that the embodiment of the present invention 1 calculates;
Fig. 5 estimates the comparative result figure of SOC for the embodiment of the present invention 1 using different electric current modification methods.
Embodiment
With reference to Fig. 1, a kind of current drift bearing calibration of battery management system, comprises the following steps:
Temperature drift amendment is carried out to the measurement result of current sensor, obtains the revised electric current of temperature drift;
Battery model is established, and calculates the voltage residual error of the battery model and the actual measurement voltage of battery of foundation;
According to the drift current of the voltage residual computations current sensor of calculating;
The revised electric current of temperature drift is added with the drift current of current sensor, obtains the electricity of battery management system Flow actual value.
The current drift modification method of conventional open-loop, pre-set " at a certain temperature, the drift of electric current is exactly one This relation of definite numerical value ", does not carry out feedback modifiers, precision is not high, and poor robustness with reference to residual error.The present invention passes through Temperature drift amendment and the modified Closed-cycle correction method of residual feedback, can improve the precision of current detecting on average, When by this method and Current integrating method combining estimate battery dump energy, it is not only able to improve estimated accuracy, and can also be right Cell degradation produces adaptive amendment, its implementation complexity is low, and without additional hardware, cost is low, and can directly with big portion Divide existing battery management system scheme to combine, there is good compatibility.
Preferred embodiment is further used as, the measurement result to current sensor carries out temperature drift amendment, The step for obtaining temperature drift revised electric current, specifically includes:
The offline measurement result obtained when current sensor measures different electric currents at different temperatures;
The actual value of the measurement result obtained offline and current sensor is subjected to numerical fitting, the survey obtained offline The fit correlation f () of the actual value RI of result MI and current sensor is measured, the expression formula of the fit correlation f () is:RI=f (MI, T), wherein, T is temperature;
According to obtained fit correlation f (), the revised electric current of temperature drift is calculated.
Wherein, common temperature drift amendment side has been continued to use in the measurement result progress temperature drift amendment to current sensor Method, by measurement result and actual value of the part with temperature drift obtained offline, fits the relation curve or relation of the two Function, then can obtain temperature drift according to real-time temperature, measurement result and the relation curve fitted or relation function Revised electric current.
Preferred embodiment is further used as, it is described to establish battery model, and calculate the battery model and battery of foundation The step for voltage residual error of actual measurement voltage, specifically include:
The battery model of stand-by battery is obtained offline;
The voltage residual error of the battery model and the actual measurement voltage of battery established is calculated according to the battery model obtained offline.
Be further used as preferred embodiment, it is described obtain stand-by battery offline battery model the step for, specifically Including:
The OCV-SOC scatterplot tables of stand-by battery at different temperatures are obtained offline, and are dissipated according to the OCV-SOC obtained offline Point table obtains the battery model of stand-by battery with function-fitting method, wherein, OCV is the open-circuit voltage of stand-by battery, and SOC is stand-by The remaining capacity of battery;
Obtain the DC internal resistance of stand-by battery, the method for the DC internal resistance for obtaining stand-by battery include off-line method and In any of line method, the expression formula of the DC internal resistance DCR of the stand-by battery is:DCR=Δ V/ Δ I, wherein, Δ V For the front and rear voltage difference of stand-by cell voltage V mutation, Δ I is the front and rear current differential of stand-by battery current I mutation;
The terminal voltage of stand-by battery, the stand-by battery are calculated according to the battery model of stand-by battery and DC internal resistance DCR Terminal voltage Vt calculation formula be:Vt=OCV+I*DCR.
Preferred embodiment is further used as, the battery model that the basis obtains offline calculates the battery model established With battery it is actual measurement voltage voltage residual error the step for, specifically include:
Determine the SOC of stand-by battery, the definite method of the SOC of the stand-by battery includes manually setting, from the last time Record any of reading and OCV-SOC calibrations in data;
Measure the actual terminal voltage Ut of stand-by battery;
The terminal voltage Vt of stand-by battery model is calculated according to the SOC of stand-by battery;
According to the terminal voltage Vt of the actual terminal voltage Ut of stand-by battery and stand-by battery model, the battery model of foundation is calculated With the voltage residual error of the actual measurement voltage of battery, the voltage residual error Err of the battery model and the actual measurement voltage of battery is calculated Formula is:Err=Ut-Vt.
It is further used as preferred embodiment, the drift electricity of the voltage residual computations current sensor according to calculating The step for stream, be specially:
According to the drift current of the voltage residual computations current sensor of calculating, the drift current meter of the current sensor Calculating formula is:Iflo (k+1)=a*Iflo (k)+g (Err), wherein, Err is the voltage residual error calculated, and a is 0~1 constant, Iflo (k+1) and Iflo (k) is respectively the current drift current of current sensor and last drift current, and g (Err) serves as reasons The current drift changing value that voltage residual error Err is determined.
Preferred embodiment is further used as, the computational methods of the current drift changing value g (Err) include linear side Any of method and proportional, integral method, corresponding g (Err) expression formula of the linear method are:G (Err)=K*Err, its Middle K is greater than 0 constant;Corresponding g (Err) expression formula of the proportional, integral method is:G (Err)=K1*Err+K2* ∫ Err;Wherein K1 and K2 is greater than 0 constant, and ∫ is integral sign.
With reference to Fig. 1, preferred embodiment is further used as, it is further comprising the steps of:
Inputted using the electric current actual value of battery management system as electric current, the surplus of battery is estimated using the method for current integration Remaining electricity.
The electric current actual value for the battery management system that the present invention is calculated, can produce cell degradation adaptive repair Just, there can be good compatibility with other existing SOC algorithm for estimating slitless connections.
It is corresponding with the method for Fig. 1, a kind of current drift correction system of battery management system of the present invention, including:
Temperature drift correcting module, for carrying out temperature drift amendment to the measurement result of current sensor, obtains temperature Electric current after drift correction;
Voltage residual computations module, for establishing battery model, and calculates battery model and the actual measurement of battery of foundation The voltage residual error of voltage;
Drift current computing module, the drift current for the voltage residual computations current sensor according to calculating;
Electric current actual value acquisition module, for by the drift current phase of the revised electric current of temperature drift and current sensor Add, obtain the electric current actual value of battery management system.
It is corresponding with the method for Fig. 1, a kind of current drift means for correcting of battery management system, including:
Memory, for storing program;
Processor, for loading described program to perform a kind of current drift school of battery management system as shown in Figure 1 Correction method.
The present invention is further explained and illustrated with reference to explanation the drawings and specific embodiments.In following embodiments Number of steps, it is set only for the purposes of illustrating explanation, does not do any restriction to the order between step, each in embodiment The execution sequence of step can carry out accommodation according to the understanding of those skilled in the art.
Embodiment 1
With reference to Fig. 2, the residue of ferric phosphate lithium cell is estimated in the present embodiment current drift bearing calibration using the present invention Electricity process, specifically includes following steps:
A, the drift current of current sensor at different temperatures is obtained offline;
B, the battery model of stand-by battery is obtained offline;
C, on-line identification drift current;
D, the battery SOC estimation based on Current integrating method.
The step A can specifically be subdivided into following steps:
Measurement result MI during different electric currents is measured under A1, acquisition current sensor different temperatures T;
A2, by the result MI of step A1 and actual value RI carry out numerical fitting, obtains the fit correlation f () of the two, is fitted Relation f () can be expressed as:RI=f (MI, T);
A3, the measurement electric current I for calculating with fit correlation f () and real-time measurements battery management system.
Preferably, the fit correlation of the present embodiment is:RI=MI.
The step B specifically comprises the following steps:
B1, the OCV-SOC scatterplot tables of offline acquisition battery at different temperatures, and be fitted with higher order functionality, obtain Corresponding battery model.Wherein OCV refers to the open-circuit voltage of battery, and SOC refers to the remaining capacity of battery.
Preferably, the battery model fitted in this example is:
Vmo=E0+Iinput·r-k0/SOC-k1·SOC+k2·ln(SOC)+k3Ln (1-SOC) wherein, VmoIt is defeated for model Go out voltage, IinputFor mode input electric current, r is the internal resistance of cell;E0、k0、k1And k2Be model coefficient, can preset or It is given.
B2, the DC internal resistance for obtaining battery;
The acquisition methods of DC internal resistance include but not limited to off-line method and in line methods.DC internal resistance DCR is defined as When electric current I is mutated, the ratio between the difference of voltage V and the difference of electric current I:
DCR=Δ V/ Δs I
B3, the terminal voltage for calculating stand-by battery;
It (is positive current during charging, when electric discharge is that the terminal voltage Vt of battery, which can be expressed as OCV and DC impedance in electric current I, Negative current) the lower pressure drop of effect common results:
Vt=OCV+I*DCR
Preferably, in the present embodiment, the DC internal resistance of battery is that dynamic realtime is obtained and intended by low-pass filtering online Close it is modified, as shown in Figure 3.
The step C specifically comprises the following steps:
The initial SOC of C1, specific battery;
The method that initial SOC is specified includes but not limited to:Manually set, OCV-SOC calibrations, from the record data of last time Read etc.;Preferably, the method that SOC is specified in the present embodiment is initial OCV-SOC calibrations.
C2, circulated according to initial SOC, finally obtains drift current Iflo.
The step C2 is held successively when being circulated (condition that circulation terminates, such as cycle-index, can preset) Row following steps C21~C25:
C21, the terminal voltage Ut, electric current I for measuring battery;
C22, the method correcting current I according to temperature drift;
C23, according to battery model calculate battery terminal voltage Vt;
C24, computation model and the voltage residual error actually measured:Err=Ut-Vt;
C25, according to residual error Err, calculate drift current Iflo according to method g:
Iflo (k+1)=a*Iflo (k)+g (Err), wherein, a is the constant between 0~1, Iflo (k+1) and Iflo (k) Drift when drift current and kth time (last time) when respectively current sensor kth+1 time (i.e. current) circulates circulate Electric current.
The method g includes but not limited to following method:
A) linear method:G (Err)=K*Err;Wherein K is greater than 0 constant;
B) proportional, integral method:G (Err)=K1*Err+K2* ∫ Err;Wherein K1 and K2 is greater than 0 constant.
In the step D, the electric current for integration be the cumulative of the revised electric current of temperature drift and drift current and.
Preferably, method g is using proportional, integral method in the present embodiment, specific current drift tracking result, and Corresponding SOC estimated results, as shown in Figure 4 and Figure 5.
As can be seen from Figure 4 and Figure 5, the present embodiment drift correction method using the present invention can effectively suppress cell tube Current drift in reason system, ensure that battery current is measured under average accurately, with the remaining battery of the current estimation Electricity (SOC) evaluated error is less than 3%.
Embodiment 2
The present embodiment employs method similar to Example 1 to estimate ferric phosphate lithium cell remaining capacity, itself and implementation The main distinction of example 1 has at following 3 points:
1) the present embodiment expression formula of fit correlation f () in step A2 is:
RI=(1.123+0.1662*MI-0.004063*MI*MI-0.1168/MI) * (1.928+0.1929* △ T- 0.002464*△T*△T-0.147/△T)
Wherein, △ T represent Current Temperatures sensor temperature and 0 degree Celsius of difference, i.e.,:△ T=(T-0).It is actual to make In, T is generally higher than 0 degree Celsius.
2) the battery model expression formula that the present embodiment fits in step bl is determined is:
Uoc01SOC+β2SOC23SOC34SOC45SOC5
Wherein, UocFor the open-circuit voltage of battery, β0、β1、β2、β3、β4And β5It is battery model parameter, can presets It is or given.
3) mode that the DC internal resistance DCR of battery is obtained in the present embodiment is specified offline.
The specific SOC estimated results of the present embodiment, it is as shown in table 1 below.
Table 1
As it can be seen from table 1 the present embodiment drift correction method using the present invention can effectively suppress battery management system Current drift in system, ensure that battery current is measured under average accurately, with the battery dump energy of the current estimation (SOC) evaluated error is less than 3%.
Generally speaking, the invention discloses current drift bearing calibration, system and the device of a kind of battery management system, Method to carry out further drift correction is additionally arranged according to voltage residual error on the basis of existing temperature drift modification method, by mould One of origin cause of formation that voltage residual error between the voltage of type output and the voltage that truly measures is drifted about as current sensor, pass through by The electric current actual value that the revised electric current of temperature drift is added with drift current, which realizes, closes current sensor electric current Ring amendment, current measurement result error smaller, adapts to the requirement of different use environments, temperature or sensor model number, realizes Complexity is low, and without additional hardware, cost is low, and result can directly with most of existing battery management system scheme knot Close, there is good compatibility.Present invention can ensure that battery current is measured under average accurately, with the current estimation Battery dump energy (SOC) evaluated error is less than 3%, can have wide with other existing SOC algorithm for estimating slitless connections Market application scenarios.
Above is the preferable of the present invention is implemented to be illustrated, but the present invention is not limited to the embodiment, and it is ripe A variety of equivalent variations or replacement can also be made on the premise of without prejudice to spirit of the invention by knowing those skilled in the art, this Equivalent deformation or replacement are all contained in the application claim limited range a bit.

Claims (10)

1.一种电池管理系统的电流漂移校正方法,其特征在于:包括以下步骤:1. A current drift correction method of a battery management system, characterized in that: comprising the following steps: 对电流传感器的测量结果进行温度漂移修正,得到温度漂移修正后的电流;Perform temperature drift correction on the measurement results of the current sensor to obtain the current after temperature drift correction; 建立电池模型,并计算建立的电池模型与电池实际测量电压的电压残差;Establish a battery model, and calculate the voltage residual between the established battery model and the actual measured voltage of the battery; 根据计算的电压残差计算电流传感器的漂移电流;Calculate the drift current of the current sensor based on the calculated voltage residual; 将温度漂移修正后的电流与电流传感器的漂移电流相加,得到电池管理系统的电流真实值。The current after temperature drift correction is added to the drift current of the current sensor to obtain the actual current value of the battery management system. 2.根据权利要求1所述的一种电池管理系统的电流漂移校正方法,其特征在于:所述对电流传感器的测量结果进行温度漂移修正,得到温度漂移修正后的电流这一步骤,具体包括:2. A current drift correction method for a battery management system according to claim 1, wherein the step of performing temperature drift correction on the measurement results of the current sensor to obtain the current after temperature drift correction specifically includes : 离线获取电流传感器在不同温度下测量不同电流时的测量结果;Obtain offline the measurement results of the current sensor when measuring different currents at different temperatures; 将离线获取的测量结果与电流传感器的真实值进行数值拟合,得到离线获取的测量结果MI与电流传感器的真实值RI的拟合关系f(),所述拟合关系f()的表达式为:RI=f(MI,T),其中,T为温度;Numerically fitting the measurement results obtained offline with the true value of the current sensor, to obtain the fitting relationship f() between the measurement result MI obtained offline and the true value RI of the current sensor, the expression of the fitting relationship f() It is: RI=f(MI,T), where T is temperature; 根据得到的拟合关系f(),计算温度漂移修正后的电流。According to the obtained fitting relationship f(), the current after temperature drift correction is calculated. 3.根据权利要求1所述的一种电池管理系统的电流漂移校正方法,其特征在于:所述建立电池模型,并计算建立的电池模型与电池实际测量电压的电压残差这一步骤,具体包括:3. A current drift correction method for a battery management system according to claim 1, characterized in that: the step of establishing a battery model and calculating the voltage residual between the established battery model and the actual measured voltage of the battery, specifically include: 离线获取待用电池的电池模型;Obtain the battery model of the battery to be used offline; 根据离线获取的电池模型计算建立的电池模型与电池实际测量电压的电压残差。According to the battery model obtained offline, the voltage residual between the established battery model and the actual measured voltage of the battery is calculated. 4.根据权利要求3所述的一种电池管理系统的电流漂移校正方法,其特征在于:所述离线获取待用电池的电池模型这一步骤,具体包括:4. A current drift correction method for a battery management system according to claim 3, wherein the step of obtaining the battery model of the standby battery offline includes: 离线获取待用电池在不同温度下的OCV-SOC散点表,并根据离线获取的OCV-SOC散点表用函数拟合法得到待用电池的电池模型,其中,OCV为待用电池的开路电压,SOC为待用电池的剩余电量;Obtain the OCV-SOC scatter table of the standby battery at different temperatures offline, and use the function fitting method to obtain the battery model of the standby battery according to the OCV-SOC scatter table obtained offline, where OCV is the open circuit voltage of the standby battery , SOC is the remaining power of the standby battery; 获取待用电池的直流内阻,所述获取待用电池的直流内阻的方法包括离线方法和在线方法中的任一种,所述待用电池的直流内阻DCR的表达式为:DCR=ΔV/ΔI,其中,ΔV为待用电池电压V突变前后的电压差值,ΔI为待用电池电流I突变前后的电流差值;Obtain the DC internal resistance of the battery to be used, the method for obtaining the DC internal resistance of the battery to be used includes any one of an off-line method and an online method, and the expression of the DC internal resistance DCR of the battery to be used is: DCR= ΔV/ΔI, where ΔV is the voltage difference before and after the mutation of the voltage V of the battery to be used, and ΔI is the current difference before and after the mutation of the current I of the battery to be used; 根据待用电池的电池模型和直流内阻DCR计算待用电池的端电压,所述待用电池的端电压Vt计算公式为:Vt=OCV+I*DCR。The terminal voltage of the standby battery is calculated according to the battery model of the standby battery and the DC internal resistance DCR, and the calculation formula of the terminal voltage Vt of the standby battery is: Vt=OCV+I*DCR. 5.根据权利要求4所述的一种电池管理系统的电流漂移校正方法,其特征在于:所述根据离线获取的电池模型计算建立的电池模型与电池实际测量电压的电压残差这一步骤,具体包括:5. A current drift correction method for a battery management system according to claim 4, characterized in that: the step of calculating the voltage residual between the battery model established based on the battery model obtained offline and the actual measured voltage of the battery, Specifically include: 确定待用电池的SOC,所述待用电池的SOC的确定方法包括手动设定,从上一次的记录数据中读取和OCV-SOC校准中的任一种;Determine the SOC of the battery to be used, the method for determining the SOC of the battery to be used includes any one of manual setting, reading from the last recorded data, and OCV-SOC calibration; 测量待用电池的实际端电压Ut;Measure the actual terminal voltage Ut of the battery to be used; 根据待用电池的SOC计算待用电池模型的端电压Vt;Calculate the terminal voltage Vt of the standby battery model according to the SOC of the standby battery; 根据待用电池的实际端电压Ut与待用电池模型的端电压Vt,计算建立的电池模型与电池实际测量电压的电压残差,所述电池模型与电池实际测量电压的电压残差Err计算公式为:Err=Ut-Vt。According to the actual terminal voltage Ut of the battery to be used and the terminal voltage Vt of the battery model to be used, the voltage residual between the battery model and the actual measured voltage of the battery is calculated, and the voltage residual Err between the battery model and the actual measured voltage of the battery is calculated. It is: Err=Ut-Vt. 6.根据权利要求1所述的一种电池管理系统的电流漂移校正方法,其特征在于:所述根据计算的电压残差计算电流传感器的漂移电流这一步骤,具体为:6. A current drift correction method for a battery management system according to claim 1, wherein the step of calculating the drift current of the current sensor according to the calculated voltage residual is specifically as follows: 根据计算的电压残差计算电流传感器的漂移电流,所述电流传感器的漂移电流计算公式为:Iflo(k+1)=a*Iflo(k)+g(Err),其中,Err为计算的电压残差,a为0~1的常数,Iflo(k+1)和Iflo(k)分别为电流传感器当前的漂移电流和上一次的漂移电流,g(Err)为由电压残差Err决定的电流漂移变化值。Calculate the drift current of the current sensor according to the calculated voltage residual, the calculation formula of the drift current of the current sensor is: Iflo(k+1)=a*Iflo(k)+g(Err), where Err is the calculated voltage Residual, a is a constant from 0 to 1, Iflo(k+1) and Iflo(k) are the current drift current and the last drift current of the current sensor respectively, g(Err) is the current determined by the voltage residual Err Drift change value. 7.根据权利要求6所述的一种电池管理系统的电流漂移校正方法,其特征在于:所述电流漂移变化值g(Err)的计算方法包括线性方法和比例-积分方法中的任一种,所述线性方法对应的g(Err)表达式为:g(Err)=K*Err,其中K是大于0的常数;所述比例-积分方法对应的g(Err)表达式为:g(Err)=K1*Err+K2*∫Err;其中K1和K2均是大于0的常数,∫为积分符号。7. A current drift correction method for a battery management system according to claim 6, wherein the calculation method of the current drift change value g(Err) includes any one of a linear method and a proportional-integral method , the expression of g(Err) corresponding to the linear method is: g(Err)=K*Err, wherein K is a constant greater than 0; the expression of g(Err) corresponding to the proportional-integral method is: g( Err)=K1*Err+K2*∫Err; wherein both K1 and K2 are constants greater than 0, and ∫ is the integral sign. 8.根据权利要求1所述的一种电池管理系统的电流漂移校正方法,其特征在于:还包括以下步骤:8. A current drift correction method for a battery management system according to claim 1, further comprising the following steps: 以电池管理系统的电流真实值作为电流输入,采用电流积分的方法估计电池的剩余电量。The actual current value of the battery management system is used as the current input, and the remaining power of the battery is estimated by the method of current integration. 9.一种电池管理系统的电流漂移校正系统,其特征在于:包括:9. A current drift correction system for a battery management system, characterized in that: comprising: 温度漂移修正模块,用于对电流传感器的测量结果进行温度漂移修正,得到温度漂移修正后的电流;The temperature drift correction module is used to correct the temperature drift of the measurement result of the current sensor, and obtain the current after the temperature drift correction; 电压残差计算模块,用于建立电池模型,并计算建立的电池模型与电池实际测量电压的电压残差;The voltage residual calculation module is used to establish a battery model and calculate the voltage residual between the established battery model and the actual measured voltage of the battery; 漂移电流计算模块,用于根据计算的电压残差计算电流传感器的漂移电流;The drift current calculation module is used to calculate the drift current of the current sensor according to the calculated voltage residual; 电流真实值获取模块,用于将温度漂移修正后的电流与电流传感器的漂移电流相加,得到电池管理系统的电流真实值。The actual current value acquisition module is used to add the current corrected by the temperature drift to the drift current of the current sensor to obtain the actual current value of the battery management system. 10.一种电池管理系统的电流漂移校正装置,其特征在于:包括:10. A current drift correction device for a battery management system, characterized in that it comprises: 存储器,用于存放程序;memory for storing programs; 处理器,用于加载所述程序以执行如权利要求1-8任一项所述的一种电池管理系统的电流漂移校正方法。The processor is configured to load the program to execute the current drift correction method of a battery management system according to any one of claims 1-8.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108957349A (en) * 2018-08-17 2018-12-07 北京航空航天大学 A kind of lithium ion battery failure detection method and system
CN109061537A (en) * 2018-08-23 2018-12-21 重庆大学 Electric vehicle lithium ion battery sensor fault diagnosis method based on observer
CN110208707A (en) * 2019-06-14 2019-09-06 湖北锂诺新能源科技有限公司 A kind of lithium ion battery parameter evaluation method based on equivalent-circuit model
CN111989581A (en) * 2018-11-23 2020-11-24 株式会社Lg化学 Battery monitoring system
CN112415401A (en) * 2020-10-26 2021-02-26 潍柴动力股份有限公司 Battery monitoring method, device and equipment applied to vehicle
CN112651498A (en) * 2020-09-22 2021-04-13 杭州杭越传感科技有限公司 Method and device for improving temperature stability of self-learning current sensor
CN112834935A (en) * 2020-12-31 2021-05-25 东软睿驰汽车技术(沈阳)有限公司 Method and device for obtaining open circuit voltage of battery cell
CN115656843A (en) * 2022-11-07 2023-01-31 潍柴动力股份有限公司 Power battery SOC determination method and device, vehicle and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202204918U (en) * 2011-07-26 2012-04-25 浙江吉利汽车研究院有限公司 Temperature-compensation-based system on chip (SOC) accuracy improvement device
CN102735918A (en) * 2012-06-30 2012-10-17 惠州市亿能电子有限公司 Battery voltage acquisition method and system based on linear temperature compensation algorithm
CN103713271A (en) * 2013-12-13 2014-04-09 惠州市亿能电子有限公司 BMS current detection unit automatic calibration device and calibration method
JP2015200590A (en) * 2014-04-09 2015-11-12 株式会社豊田自動織機 Correction method of current sensor detecting current of electrification pertain to electric charge of secondary battery or discharge thereof
CN105652205A (en) * 2014-11-20 2016-06-08 力智电子股份有限公司 Electric quantity measuring device with temperature compensation and temperature compensation method thereof
CN106249186A (en) * 2016-07-19 2016-12-21 北京长城华冠汽车科技股份有限公司 The bearing calibration of a kind of battery management system diverter current acquisition data and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202204918U (en) * 2011-07-26 2012-04-25 浙江吉利汽车研究院有限公司 Temperature-compensation-based system on chip (SOC) accuracy improvement device
CN102735918A (en) * 2012-06-30 2012-10-17 惠州市亿能电子有限公司 Battery voltage acquisition method and system based on linear temperature compensation algorithm
CN103713271A (en) * 2013-12-13 2014-04-09 惠州市亿能电子有限公司 BMS current detection unit automatic calibration device and calibration method
JP2015200590A (en) * 2014-04-09 2015-11-12 株式会社豊田自動織機 Correction method of current sensor detecting current of electrification pertain to electric charge of secondary battery or discharge thereof
CN105652205A (en) * 2014-11-20 2016-06-08 力智电子股份有限公司 Electric quantity measuring device with temperature compensation and temperature compensation method thereof
CN106249186A (en) * 2016-07-19 2016-12-21 北京长城华冠汽车科技股份有限公司 The bearing calibration of a kind of battery management system diverter current acquisition data and device

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108957349A (en) * 2018-08-17 2018-12-07 北京航空航天大学 A kind of lithium ion battery failure detection method and system
CN109061537A (en) * 2018-08-23 2018-12-21 重庆大学 Electric vehicle lithium ion battery sensor fault diagnosis method based on observer
CN109061537B (en) * 2018-08-23 2019-07-16 重庆大学 Observer-based fault diagnosis method for electric vehicle lithium-ion battery sensor
CN111989581A (en) * 2018-11-23 2020-11-24 株式会社Lg化学 Battery monitoring system
CN111989581B (en) * 2018-11-23 2023-06-06 株式会社Lg新能源 battery monitoring system
CN110208707A (en) * 2019-06-14 2019-09-06 湖北锂诺新能源科技有限公司 A kind of lithium ion battery parameter evaluation method based on equivalent-circuit model
CN112651498A (en) * 2020-09-22 2021-04-13 杭州杭越传感科技有限公司 Method and device for improving temperature stability of self-learning current sensor
CN112415401A (en) * 2020-10-26 2021-02-26 潍柴动力股份有限公司 Battery monitoring method, device and equipment applied to vehicle
CN112834935A (en) * 2020-12-31 2021-05-25 东软睿驰汽车技术(沈阳)有限公司 Method and device for obtaining open circuit voltage of battery cell
CN115656843A (en) * 2022-11-07 2023-01-31 潍柴动力股份有限公司 Power battery SOC determination method and device, vehicle and storage medium

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