WO2016197831A1 - Procédé et dispositif permettant d'obtenir un état de charge d'une batterie - Google Patents

Procédé et dispositif permettant d'obtenir un état de charge d'une batterie Download PDF

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Publication number
WO2016197831A1
WO2016197831A1 PCT/CN2016/083675 CN2016083675W WO2016197831A1 WO 2016197831 A1 WO2016197831 A1 WO 2016197831A1 CN 2016083675 W CN2016083675 W CN 2016083675W WO 2016197831 A1 WO2016197831 A1 WO 2016197831A1
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battery
state
charge
internal resistance
calculated
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PCT/CN2016/083675
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English (en)
Chinese (zh)
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李林
吴来强
任小波
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中兴通讯股份有限公司
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Publication of WO2016197831A1 publication Critical patent/WO2016197831A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • G01R31/387—Determining ampere-hour charge capacity or SoC

Definitions

  • the present application relates to, but is not limited to, the field of battery technology, and in particular, to a method and an apparatus for acquiring a state of charge of a battery.
  • the SOC (state of charge) of the power battery is one of the important parameters for characterizing the state of the battery. Accurately estimating the SOC of the battery is a guarantee for the battery management unit (BMS) to efficiently manage the battery. If the SOC detection accuracy of the battery is low, the battery is overcharged and overdischarged for a long time, and the battery performance is degraded, which affects the service life of the battery. Therefore, the higher the estimation accuracy of the SOC of the battery, the more accurate the battery management of the BMS.
  • the detection technique of the SOC of the battery in the related art includes an internal resistance detection method, an open circuit voltage method, an ampere-hour integration method, a Kalman filter method, and the like.
  • the invention provides a method and a device for acquiring a state of charge of a battery, so as to solve the problem that the detection mode of the SOC of the battery in the related art does not reflect the internal dynamic characteristics of the battery well, the adaptability is not ideal, and the SOC accuracy of the detected battery is poor. problem.
  • An embodiment of the present invention provides a method for acquiring a state of charge of a battery, including:
  • the double-kallman calculation is performed to obtain the state of charge of the battery.
  • the dual Kalman meter is performed according to the functional relationship and internal characteristic parameters of the battery Calculating the state of charge of the battery includes:
  • the state of charge of the battery is obtained by performing a double Kalman calculation based on the calculated state of charge of the battery and the initial value of the internal resistance of the battery.
  • performing the dual Kalman calculation on the calculated battery state of charge and the initial value of the battery internal resistance to obtain the state of charge of the battery includes:
  • the state of charge of the battery is calculated based on the calculated state of charge of the battery and the preliminary value of the internal resistance of the battery and the Kalman gain.
  • the Kalman gain for calculating the state of charge of the battery and the internal resistance of the battery includes:
  • the battery charge state and the Kalman gain of the battery internal resistance are calculated.
  • the method for obtaining the state of charge of the battery further includes: calculating the open circuit voltage of the battery as a function of the state of charge and the temperature according to the pre-built battery model.
  • the battery model is built and saved according to the entered battery model parameters.
  • the embodiment of the invention further provides a computer readable storage medium storing computer executable instructions, which are implemented when the computer executable instructions are executed.
  • the embodiment of the invention further provides a device for acquiring a state of charge of a battery, comprising:
  • the calculation module is configured to calculate the open circuit voltage of the battery as a function of the state of charge and temperature according to a pre-built battery model
  • Obtain the module set to: obtain the internal characteristic parameters of the battery;
  • the calculation module is further configured to: perform a dual Kalman calculation to obtain a state of charge of the battery according to the functional relationship and the internal characteristic parameter of the battery.
  • the calculating module is configured to: calculate a state equation and an observation equation of a state of charge and a battery internal resistance according to the function relationship and a battery model; and calculate a state equation and an observation according to the calculated electrical state and the internal resistance of the battery
  • the equation calculates the initial state of the battery state and the internal resistance of the battery; the state of charge of the battery is obtained by double Kalman calculation based on the calculated state of charge of the battery and the initial value of the internal resistance of the battery.
  • the calculating module is configured to: calculate a battery charging state and a Kalman gain of the battery internal resistance; calculate the charging of the battery according to the calculated battery state of charge and the initial value of the battery internal resistance and the Kalman gain. status.
  • the calculating module is configured to: calculate a battery charging state and a calculation error of the battery internal resistance; calculate a battery state of charge and a battery according to the calculated battery state of charge and the initial value of the battery internal resistance and the calculation error The Kalman gain of the internal resistance.
  • the acquiring device of the battery state of charge further includes:
  • the building module is configured to: before the calculation module calculates the open circuit voltage of the battery as a function of the state of charge and temperature according to the pre-built battery model, construct a battery model according to the input battery model parameters and save.
  • the battery model is constructed and the open circuit voltage of the battery is calculated as a function of the state of charge and the temperature and the internal characteristic parameter of the battery.
  • the internal characteristic parameter of the battery is the internal characteristic parameter of the battery.
  • the SOC of the battery is calculated from the internal characteristics of the battery, so that the SOC of the obtained battery is more accurate.
  • the method of effectively avoiding the detection of the SOC of the battery in the related art has a problem that the internal dynamic characteristics of the battery are not well reflected, the adaptability is not satisfactory, and the SOC accuracy of the detected battery is poor.
  • FIG. 1 is a schematic flow chart of a method for acquiring a state of charge of a battery according to an embodiment of the invention
  • FIG. 2 is a schematic diagram of a battery model in accordance with an embodiment of the present invention.
  • FIG. 3 is a schematic flow chart of another method for acquiring a state of charge of a battery according to an embodiment of the invention.
  • FIG. 4 is a schematic flow chart of calculating a SOC by a Kalman gain of a SOC of a battery and a Kalman gain of a battery internal resistance R0 according to an embodiment of the present invention
  • FIG. 5 is a schematic flow chart of calculating a state of charge of a battery and a Kalman gain of a battery internal resistance according to an embodiment of the present invention
  • FIG. 6 is a schematic flow chart of double Kalman calculation in an embodiment of the present invention.
  • FIG. 7 is a schematic flow chart of a SOC estimation process of a battery according to an embodiment of the present invention.
  • FIG. 8 is a schematic diagram of functional modules of a device for acquiring a state of charge of a battery according to an embodiment of the invention.
  • FIG. 9 is a schematic diagram of functional modules of another apparatus for acquiring a state of charge of a battery according to an embodiment of the invention.
  • the internal resistance detecting method is that when the SOC>40%, the battery resistance hardly changes, and the discharge current has little influence on the SOC, so it is difficult to discriminate the remaining capacity of more than 40% by the internal resistance of the battery.
  • the open circuit voltage of the battery is numerically close to the electromotive force, but measuring the open circuit voltage of the battery requires that it be left for a period of time to achieve voltage stability. Therefore, the open circuit voltage method is simple, but cannot dynamically detect the SOC.
  • the ampere-time integral method is a commonly used SOC estimation method. The SOC is estimated by integrating the current of the battery. However, the initial state SOC of the ampere-time integration method cannot be estimated, and there is a cumulative error.
  • the detection mode of the SOC of the battery in the related art does not reflect the internal dynamic characteristics of the battery well, the adaptability is not ideal, and the SOC accuracy of the detected battery is poor.
  • the solution of the embodiment of the present invention may include: calculating a relationship between an open circuit voltage of the battery and a state of charge and temperature according to a pre-built battery model, and acquiring an internal characteristic parameter of the battery; and according to the function relationship and internal characteristics of the battery
  • the parameters are subjected to dual Kalman calculation to obtain the state of charge of the battery.
  • the internal characteristic parameter of the battery is electricity. Pool internal feature parameters.
  • the SOC of the battery is calculated from the internal characteristics of the battery, so that the SOC of the obtained battery is more accurate. Effectively avoiding the SOC detection method of the battery in the related art has a problem that the internal dynamic characteristics of the battery are not well reflected, the adaptability is not satisfactory, and the SOC accuracy of the detected battery is poor.
  • the SOC detection method of the battery in the related art has a problem that the internal dynamic characteristics of the battery are not well reflected, the adaptability is not satisfactory, and the SOC accuracy of the detected battery is poor.
  • Embodiments of the present invention provide a method for acquiring a state of charge of a battery.
  • FIG. 1 is a schematic flowchart of a method for acquiring a state of charge of a battery according to an embodiment of the present invention.
  • an embodiment of the present invention provides a method for acquiring a state of charge of a battery, including the following steps:
  • Step S10 calculating an open circuit voltage of the battery as a function of the state of charge and temperature according to a pre-built battery model
  • the battery model may be pre-built, and the process of constructing the battery model may include: receiving a battery model construction instruction, receiving an input battery model construction parameter, and constructing a battery model according to the received battery model construction parameter.
  • the battery model is optionally a Thevenin model, or it may be a similar battery model as taught by those skilled in the art by Thevenin.
  • the battery model constructed is shown in Figure 2. After building the battery model, the formula is based on the battery model as follows:
  • R 0 is the internal resistance of the battery
  • R p and C p are the polarization effects of the battery
  • U oc (SOC, T) is the fitting function of the open circuit voltage of the battery and the SOC and the electrode temperature T
  • R 0 (SOC, T) is the SOC.
  • the fitting function of temperature T, R 0 (SOC, T, I) is a fitting function of SOC, temperature T and I current.
  • the open circuit voltage of the battery can be calculated as a function of the state of charge and temperature according to a pre-built battery model. Specifically, a relationship table between the battery power SOC, the battery open circuit voltage U oc , and the electrode temperature T of the battery can be measured by a DC discharge test. The relationship between the three can also be given by the battery manufacturer. The relationship between the three can be fitted to obtain a function U oc (SOC, T), and the battery open circuit U oc can be queried by SOC and T.
  • Step S20 acquiring internal characteristic parameters of the battery
  • the initial values of the fitting functions U oc (SOC, T) and R p , C p and R 0 may be battery model parameters, that is, battery internal characteristic parameters.
  • Step S30 performing a dual Kalman calculation according to the function relationship and the internal characteristic parameter of the battery to obtain the state of charge of the battery.
  • the state of charge of the battery can be obtained by performing a double Kalman calculation according to the functional relationship and the internal characteristic parameters of the battery.
  • U oc (SOC, T) and the calculated battery parameters internal take dual Kalman calculations of SOC of the battery and the estimated battery internal resistance R 0, to obtain an accurate SOC value of a battery.
  • the calculation of the SOC of the battery by the single Kalman calculation method is a conventional technique for those skilled in the art, and a person skilled in the art can also calculate the SOC of the battery by adopting a dual Kalman calculation method.
  • the deviation value of the SOC and the internal resistance R 0 of the battery may be calculated before the double Casman is used to calculate the SOC value, and the SOC value is calculated by taking the double Kalman. The calculated SOC value is then compensated for the offset value to further improve the accuracy of the calculated SOC value.
  • the state information of the battery may be generated according to the SOC value, and the prompt information of the state information of the battery may be issued to notify the battery user of the current state of the battery.
  • the internal characteristic parameter of the battery can be a characteristic parameter of the internal characteristic of the battery by constructing a battery model and calculating a relationship between an open circuit voltage of the battery and a state of charge and temperature and an internal characteristic parameter of the battery according to the battery model. Further, based on the calculated functional relationship and the internal characteristic parameters of the battery, the SOC of the battery can be calculated from the internal characteristics of the battery, so that the SOC of the obtained battery is more accurate. It can effectively avoid the problem that the SOC detection mode of the battery in the related art does not reflect the internal dynamic characteristics of the battery well, the adaptability is not ideal, and the SOC accuracy of the detected battery is poor.
  • an embodiment of the present invention further provides another method for acquiring a state of charge of a battery, based on
  • the step of performing a dual Kalman calculation according to the functional relationship and the internal characteristic parameter of the battery to obtain the state of charge of the battery may include:
  • Step S31 calculating a state equation and an observation equation of the state of charge and the internal resistance of the battery according to the function relationship and the battery model;
  • Step S32 calculating a state of charge state of the battery and a preliminary value of the internal resistance of the battery according to the calculated electrical state and the state equation of the internal resistance of the battery and the observation equation;
  • Step S33 performing a double Kalman calculation according to the calculated battery state of charge and the preliminary value of the internal resistance of the battery to obtain the state of charge of the battery.
  • the SOC of the battery and the internal resistance R 0 of the battery may be initialized, including:
  • 0) E[(x 0 -x(0
  • the SOC and the battery internal resistance R 0 can be calculated according to the functional relationship and the battery model.
  • State equations and observation equations. The process of obtaining the state equation and the observation equation may include: utilizing an initial assignment of the SOC and the battery internal resistance R 0 in the calculation process.
  • ⁇ R p *C p
  • ⁇ t the time value
  • i k the measured current value at time k
  • the initial state of the state of charge of the battery and the internal resistance of the battery can be calculated according to the calculated electrical state and the state equation of the internal resistance of the battery and the observation equation.
  • the SOC of the battery and the estimated value of the internal resistance R 0 of the battery may be obtained according to a software algorithm, that is, an initial value, and the initial value may be calculated by:
  • k-1) Fx(k-1)(k-1)+Bi k-1 ; where i k-1 is the battery test quantity, and the previous state of x(k
  • k-1 ) R 0 (k-1
  • the SOC value of the battery can be calculated by the Kalman gain of the SOC of the battery and the Kalman gain of the internal resistance R 0 of the battery;
  • Step S101 calculating a battery charging state and a Kalman gain of the battery internal resistance
  • Step S102 according to the calculated battery state of charge and the initial value of the battery internal resistance and the Kalman gain Calculate the state of charge of the battery.
  • the process of calculating the state of charge of the battery and the Kalman gain of the internal resistance of the battery may include:
  • Step S1011 calculating a battery charging state and a calculation error of the internal resistance of the battery
  • Step S1012 calculating a state of charge of the battery and a Kalman gain of the internal resistance of the battery according to the calculated battery state of charge and the preliminary value of the battery internal resistance and the calculation error.
  • k-1) of the SOC of the battery and the internal resistance R 0 can be calculated
  • k-1) F P x (k-1
  • the Kalman gain of the SOC and R 0 of the battery can be calculated as follows:
  • the calculation formula of the Kalman gain of the SOC of the battery can be:
  • the battery internal resistance R 0 Kalman gain calculation formula can be:
  • the state of charge of the battery can be calculated according to the calculated state of charge of the battery and the initial value of the internal resistance of the battery and the Kalman gain.
  • the specific calculation process may include:
  • the optimal estimation of the SOC of the battery (the SOC obtained by the calculation module 10 based on the functional relationship and the internal characteristic parameters of the battery) may be:
  • k) x(k
  • the optimal estimate of the internal resistance R 0 of the battery can be:
  • k) R 0 (k
  • the double-Kalman filter algorithm is used to estimate the ohmic resistance R 0 of the battery online, and the accuracy of the Thevenin model is improved, and the initial SOC estimation of the battery of the Ampere measurement method is not solved and thus Bringing error accumulation.
  • the error estimating the initial value and the double Kalman calculation of the Kalman gain, the accuracy of the SOC calculation of the battery is improved, and the true state of the battery can be obtained more accurately, and the service life of the battery is improved.
  • the dual Kalman calculation process may include:
  • Step S100 initializing the value; step S200, a priori estimation value; step S300, a priori covariance matrix; step S400, calculating a Kalman gain; step S500, observing the updated optimal estimation value; step S600, observing the updated covariance matrix; In step S700, it is determined whether the update of the covariance matrix is completed, and if so, the process ends; if not, the process returns to step S200.
  • the SOC estimation process of the battery may include:
  • Step S1000 the determination of the Thevenin equivalent model, the open circuit discharge obtains a fitting function U oc (SOC, T), obtains a state equation and an observation equation of the SOC and the internal resistance R 0 of the battery; and in step S2000, measures the battery voltage, the ambient temperature, and Initialization assignment; step S3000, measuring battery voltage, current; step S4000, double Kalman calculation to obtain the SOC of the battery; step S5000, determining whether the double Kalman calculation is over, and if so, ending the flow; if not, returning to step S3000.
  • U oc SOC, T
  • step S2000 measures the battery voltage, the ambient temperature, and Initialization assignment
  • step S3000 measuring battery voltage, current
  • step S4000 double Kalman calculation to obtain the SOC of the battery
  • step S5000 determining whether the double Kalman calculation is over, and if so, ending the flow; if not, returning to step S3000.
  • the embodiment of the invention further provides a computer readable storage medium storing computer executable instructions, which are implemented when the computer executable instructions are executed.
  • the embodiment of the invention further provides an apparatus for acquiring a state of charge of a battery.
  • FIG. 8 is a schematic diagram of a function module of an acquisition device according to a state of charge of a battery.
  • an embodiment of the present invention provides a device for acquiring a state of charge of a battery, including: a calculation module 10 and an acquisition module 30.
  • the calculating module 10 is configured to: calculate, according to a pre-built battery model, a function relationship between an open circuit voltage of the battery and a state of charge and temperature;
  • the battery charging state acquiring device may further include a building module 20 configured to: calculate, according to a pre-built battery model, the open circuit voltage, the state of charge, and the temperature of the battery. Before the functional relationship, build a battery model and save it according to the input battery model parameters.
  • the building module 20 may pre-build a battery model, and the process of constructing the battery model by the building module 20 may include receiving a battery model building instruction, receiving an input battery model building parameter, and constructing a battery model according to the received battery model building parameter.
  • the battery model is optionally a Thevenin model, or may be a similar battery model as taught by those skilled in the art by Thevenin.
  • the battery model constructed is shown in Figure 2. After building the battery model, the formula can be derived from the battery model as follows:
  • R 0 is the internal resistance of the battery
  • R p and C p are the polarization effects of the battery
  • U oc (SOC, T) is the fitting function of the open circuit voltage of the battery and the SOC and the electrode temperature T
  • R 0 (SOC, T) is the SOC.
  • a fitting function of temperature T, R 0 (SOC, T, I) is a fitting function of SOC, temperature T, and I power.
  • the open circuit voltage of the battery can be calculated as a function of the state of charge and temperature according to a pre-built battery model. Specifically, a relationship table between the battery power SOC, the battery open circuit voltage U oc , and the electrode temperature T thereof can be measured by a DC discharge test. The relationship between the three can also be given by the battery manufacturer. The relationship between the three can be fitted to obtain a function U oc (SOC, T), and the battery open circuit U oc can be queried by SOC and T.
  • the obtaining module 30 is configured to: acquire internal characteristic parameters of the battery;
  • the initial values of the fitting functions U oc (SOC, T) and R p , C p and R 0 may be battery model parameters, that is, battery internal characteristic parameters.
  • the calculation module 10 is further configured to perform a dual Kalman calculation according to the functional relationship and the internal characteristic parameter of the battery to obtain a state of charge of the battery.
  • the state of charge of the battery can be obtained by performing a double Kalman calculation according to the functional relationship and the internal characteristic parameters of the battery.
  • U oc (SOC, T) and the calculated battery parameters internal take dual Kalman calculations of SOC of the battery and the estimated battery internal resistance R 0, to obtain an accurate SOC value of a battery.
  • the calculation of the SOC of the battery by the single Kalman calculation method is a conventional technique for those skilled in the art, and a person skilled in the art can also calculate the SOC of the battery by adopting a dual Kalman calculation method.
  • the deviation value of the SOC and the internal resistance R 0 of the battery may be calculated before the double Casman is used to calculate the SOC value, and the SOC value is calculated by taking the double Kalman. The calculated SOC value is then compensated for the offset value to further improve the accuracy of the calculated SOC value.
  • the state information of the battery may be generated according to the SOC value, and the prompt information of the state information of the battery may be issued to notify the battery user of the current state of the battery.
  • the internal characteristic parameter of the battery can be a characteristic parameter of the internal characteristic of the battery by constructing a battery model and calculating a relationship between an open circuit voltage of the battery and a state of charge and temperature and an internal characteristic parameter of the battery according to the battery model. Further, based on the calculated functional relationship and the internal characteristic parameters of the battery, the SOC of the battery can be calculated from the internal characteristics of the battery, so that the SOC of the obtained battery is more accurate. It can effectively avoid the problem that the SOC detection mode of the battery in the related art does not reflect the internal dynamic characteristics of the battery well, the adaptability is not ideal, and the SOC accuracy of the detected battery is poor.
  • the calculating module 10 is configured to calculate a state equation and an observation equation of a state of charge and a battery internal resistance according to the function relationship and the battery model;
  • the state of charge of the battery is obtained by performing a double Kalman calculation based on the calculated state of charge of the battery and the initial value of the internal resistance of the battery.
  • the SOC of the battery and the internal resistance R 0 of the battery may be initialized, including:
  • 0) E[(x 0 -x(0
  • the SOC and the battery internal resistance R 0 can be calculated according to the functional relationship and the battery model.
  • State equations and observation equations. The process of obtaining the state equation and the observation equation may include: utilizing an initial assignment of the SOC and the battery internal resistance R 0 in the calculation process.
  • ⁇ R p *C p
  • ⁇ t the time value
  • i k the measured current value at time k
  • Uoc(SOC k , T) is obtained by looking up the table, and i k is the measured current value at time k.
  • i k is the measured current value at time k.
  • v k represents system noise.
  • the initial state of the state of charge of the battery and the internal resistance of the battery can be calculated according to the calculated electrical state and the state equation of the internal resistance of the battery and the observation equation.
  • the SOC of the battery and the estimated value of the internal resistance R 0 of the battery may be obtained according to a software algorithm, that is, an initial value, and the initial value may be calculated by:
  • k-1) Fx(k-1)(k-1)+Bi k-1 ; where i k-1 is the battery test quantity, and the previous state of x(k
  • k-1 ) R 0 (k-1
  • the calculating module 10 is configured to: calculate a battery state of charge and a Kalman gain of the battery internal resistance; calculate the charge of the battery according to the calculated battery state of charge and the initial value of the battery internal resistance and the Kalman gain. Electrical state.
  • the calculating module 10 is configured to: calculate a battery charging state and a calculation error of the battery internal resistance; calculate a state of charge of the battery according to the calculated battery state of charge and the initial value of the battery internal resistance and the calculation error. And the Kalman gain of the internal resistance of the battery.
  • k-1) of the SOC and R 0 can be calculated
  • k-1) F P x (k-1
  • the Kalman gain of the SOC and the internal resistance R 0 of the battery can be calculated as follows:
  • the calculation formula of the Kalman gain of the SOC of the battery can be:
  • the battery internal resistance R 0 Kalman gain calculation formula can be:
  • the state of charge of the battery can be calculated according to the calculated state of charge of the battery and the initial value of the internal resistance of the battery and the Kalman gain.
  • the specific calculation process may include:
  • the optimal estimation of the SOC of the battery (the SOC calculated in step S30) may be:
  • k) x(k
  • the optimal estimate of the internal resistance R 0 of the battery can be:
  • k) R 0 (k
  • the double-Kalman filter algorithm is used to estimate the ohmic resistance R 0 of the battery online, and the accuracy of the Thevenin model is improved, and the initial SOC estimation of the battery of the Ampere measurement method is not solved and thus Bringing error accumulation.
  • the error estimating the initial value and the double Kalman calculation of the Kalman gain, the accuracy of the SOC calculation of the battery is improved, and the true state of the battery can be obtained more accurately, and the service life of the battery is improved.
  • the dual Kalman calculation process may include:
  • Step S100 initializing the value; step S200, a priori estimation value; step S300, a priori covariance matrix; step S400, calculating a Kalman gain; step S500, observing the updated optimal estimation value; step S600, observing the updated covariance matrix; In step S700, it is determined whether the update of the covariance matrix is completed, and if so, the process ends; if not, the process returns to step S200.
  • the SOC estimation process of the battery may include:
  • Step S1000 the determination of the Thevenin equivalent model, the open circuit discharge obtains a fitting function U oc (SOC, T), obtains a state equation and an observation equation of the SOC and the internal resistance R 0 of the battery; and in step S2000, measures the battery voltage, the ambient temperature, and Initialization assignment; step S3000, measuring battery voltage, current; step S4000, double Kalman calculation to obtain the SOC of the battery; step S5000, determining whether the double Kalman calculation is over, and if so, ending the flow; if not, returning to step S3000.
  • U oc SOC, T
  • step S2000 measures the battery voltage, the ambient temperature, and Initialization assignment
  • step S3000 measuring battery voltage, current
  • step S4000 double Kalman calculation to obtain the SOC of the battery
  • step S5000 determining whether the double Kalman calculation is over, and if so, ending the flow; if not, returning to step S3000.
  • all or part of the steps of the above embodiments may also be implemented by using an integrated circuit. These steps may be separately fabricated into individual integrated circuit modules, or multiple modules or steps may be fabricated into a single integrated circuit module. achieve.
  • the devices/function modules/functional units in the above embodiments may be implemented by a general-purpose computing device, which may be centralized on a single computing device or distributed over a network of multiple computing devices.
  • the device/function module/functional unit in the above embodiment When the device/function module/functional unit in the above embodiment is implemented in the form of a software function module and sold or used as a stand-alone product, it can be stored in a computer readable storage medium.
  • the above mentioned computer readable storage medium may be a read only memory, a magnetic disk or an optical disk or the like.
  • the battery model is constructed and the open circuit voltage of the battery is calculated as a function of the state of charge and the temperature and the internal characteristic parameter of the battery.
  • the internal characteristic parameter of the battery is the internal characteristic parameter of the battery.
  • the SOC of the battery is calculated from the internal characteristics of the battery, so that the SOC of the obtained battery is more accurate.
  • the method of effectively avoiding the detection of the SOC of the battery in the related art has a problem that the internal dynamic characteristics of the battery are not well reflected, the adaptability is not satisfactory, and the SOC accuracy of the detected battery is poor.

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Abstract

L'invention concerne un procédé permettant d'obtenir un état de charge d'une batterie, ledit procédé consistant : à calculer, en fonction d'un modèle de batterie préconstruit, une relation fonctionnelle entre la tension en circuit ouvert d'une batterie et l'état de charge et la température (S10), et obtenir un paramètre caractéristique interne de la batterie (S20) ; en fonction de la relation fonctionnelle et du paramètre caractéristique interne de la batterie, à effectuer un double calcul du filtre de Kalman pour obtenir l'état de charge de la batterie (S30).
PCT/CN2016/083675 2016-01-08 2016-05-27 Procédé et dispositif permettant d'obtenir un état de charge d'une batterie WO2016197831A1 (fr)

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CN201610013377.XA CN106959417A (zh) 2016-01-08 2016-01-08 电池荷电状态的获取方法及装置

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CN112485680A (zh) * 2020-11-27 2021-03-12 浙江零跑科技有限公司 一种电池soc估算方法
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CN113447821A (zh) * 2021-06-30 2021-09-28 国网北京市电力公司 评估电池荷电状态的方法
CN114325431A (zh) * 2021-12-31 2022-04-12 北京西清能源科技有限公司 一种电池直流内阻测算方法及装置
CN114325431B (zh) * 2021-12-31 2024-03-08 北京西清能源科技有限公司 一种电池直流内阻测算方法及装置
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CN116699415B (zh) * 2023-05-26 2024-06-11 云储新能源科技有限公司 一种动态可重构电池系统电量估计方法、系统及电子设备

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