251 results about "Ampere-hour" patented technology

A method for determining the battery state of charge SOC adopts corrected ampere hour integration method (Figure) to determine the battery state of charge SOC value at the time of t; the measurement method of the correction function fai (t) comprises the following steps: an SOC theoretical value calculated formula is adopted to calculate the battery state of charge SOC theoretical values SOC(theoretical) at a plurality of times; and the battery state of charge SOC actual values SOC(actual) at the plurality of times are measured; through the least square method, the correction function fai (t) standing for the relation between the difference value between the SOC(theoretical) and the SOC(actual), and the plurality of times; wherein, the SOC theoretical value calculation formula in step (a) adopts the basic ampere hour integration method (see the above formula); and x stands for one of the plurality of times. The application of the method can obtain accurate correction functions so as to achieve more precise battery state of charge SOC values to give full play to the battery performance and ensure the safety of the complete vehicle systems.

The invention discloses a battery charge state detection method. The method is characterized by normalizing voltage-charge state curves with different temperatures and different cycle charging and discharging times which are stored in a memory chip to obtain a battery charge state value SOC of a battery charging and discharging normalization curve for calibration based on an ampere-hour measurement method. The method has little error, and is applicable to static state of the battery as well as working state of the battery, In addition, correlation curves can be established by a logistic fitting tool, which simplifies the modeling process and facilitates application of the method.

The invention discloses a method for estimating an SOC of a lithium battery. The method comprises the following steps of (S1) obtaining an SOH value of the battery, and determining the current maximum available capacity CN of the battery; (S2) calculating a current SOC value of the battery online by using an ampere-hour integral method; (S3) starting a corresponding offline model parameter according to a sampling temperature T and an estimated value of the current SOC of the battery, and calculating current open-circuit voltage OCV by combining the current sampling current I and terminal voltage U; (S4) obtaining a real value SOC (t)* of the current SOC of the battery according to the estimated value of the current SOC of the battery in the step (S2), the current open-circuit voltage OCV in the step (S3) and an OCV-SOC calibration curve; (S5) correcting the current estimated SOC value of the ampere-hour integral method by using the real value SOC (t)* of the current SOC of the battery, and further carrying out calculation by using the ampere-hour integral method; and (S6) repeating the steps (S3), (S4) and (S5). According to the method, piecewise correction is carried out on a traditional algorithm for estimating the SOC by the ampere-hour integral method, an accumulative error of the ampere-hour integral method is effectively eliminated, and the estimation accuracy of the SOC is improved.

The invention provides an estimation method of the initial state of charge (SOC0) of a lead-acid cell. The method includes the following steps: a. collecting current flowing through the cell and end voltage of the cell; b. judging whether the cell is in the standing state, entering step c on not judgment and entering step d on yes judgment; c. adopting the relation between the SOC0 and the end voltage and the discharge multiplying power under the discharge state to obtain the initial SOC and entering step g; d. judging whether the cell is in the stable state, entering step e on no judgment and entering step f on yes judgment; e. utilizing the SOC value recorded before standing as the initial SOC and entering the step g; f. adopting the OCV-SOC relation in the standing state to obtain the SOC and entering the step g; g. adopting an ampere-hour integral method to estimate the SOC of the cell in real time. The estimation method considers the discharge state and the standing state of the cell and effects of the discharge multiplying power, standing time and the like on the SOC0, and improves estimation accuracy of the SOC0 accordingly.

The invention relates to an estimation and implement method of state of charge (SOC) of battery for electric car, belonging to the field of electric car intelligent niformation processing technology. Said method utilizes the state space equation of battery which is formed from battery charge state equation based on ampere-hour metering method and measurement equation of battery load votlage, and uses the improved extended Kalman filtering equation to calculate and obtain the stale of charge of battery. Said invented advantage lies in that it has stronger adaptability, can eliminate initial error of SOC, and can raise the convergence of error or reduce speed, at the same time it can modify the change of SOC resulted frmo self-discharge of battery. Said invention is applicable to SOC estimation of cell monomer, module and battery.

The invention discloses a lithium battery SOC estimation method of off-line data segmentation correction. The method is mainly applied to a battery management system of an electric vehicle and is used for correcting an actual capacity of a lithium battery and eliminating an accumulation error of a traditional ampere-hour integral method. The method comprises the following steps of establishing a battery equivalence circuit model; acquiring an OCV-SOC curve; using a terminal voltage response curve at the time that battery discharging is ended to carry out off-line parameter identification on the equivalence circuit model; calculating a battery health state SOH; using an ampere-hour integral method to calculate a current value of the SOC in real time; using the battery health state to correct a SOC value; using off-line data to carry out segmentation elimination on the accumulation error in the ampere-hour integral method. By using the method of the invention, the battery SOC can be accurately estimated and the accumulation error of battery SOC estimation performed through using the ampere-hour integral method is eliminated.

The invention discloses a battery remaining capacity estimation method for an electric car battery management system. The method comprises the following steps of initializing the initial battery remaining capacity of a battery; predicting the remaining battery capacity of the battery at a next moment by adopting an ampere-hour current integral method so as to obtain a current polarization state through a current polarization model; estimating an open-circuit voltage according to an open-circuit voltage model; estimating the battery voltage; comparing the real sampled voltage and the estimated battery voltage, and calculating a voltage error; acquiring the corrected remaining battery capacity by adopting a kalman filter model; and introducing a temperature and battery service life compensation strategy, and estimating the remaining battery capacity according to the corrected remaining battery capacity. By adopting the method, the calculation complexity and the requirement on the battery model precision can be alleviated, and the method is particularly suitable for estimating the remaining battery capacity of the electric car power battery under relatively wicked environmental factors such as severe discharging current variation and the temperature.

The invention relates to an estimating method of the charge state of a power battery. The estimating method is characterized by including the following steps: estimating system on chip (SOC) initial value of the battery according to last charge-discharge state of the battery and SOC value and standing time of the battery since last-time use comprehensively, calculating battery inner resistance and polarization voltage of the battery, collecting working current and voltage at two ends of the battery in real time, estimating SOC of the battery according to the SOC comprehensive estimation algorithm based on an expansion Kalman filtering method and an ampere-hour metering method, storing the SOC of the battery and the corresponding working current and voltage at two ends of the battery, storing current time, battery SOC and battery charge-discharge state before the system is closed down and closing the system down. The estimating method has the advantages of being small in SOC initial value, simple in algorithm, small in metering quantity and high in accuracy.

The invention discloses a battery capacity correction method based on an improved ampere-hour integral method. The method comprises the following steps: enabling a battery pack to run in a vehicle-mounted way; calculating the state of charge (SOC) by the ampere-hour integral method; judging whether the electric quantity of batteries is too low or not; judging whether the minimum battery voltage V<min> is lower than the threshold voltage V<mdy> in a capacity correction mode or not; entering the capacity correction mode; carrying out capacity correction, and then quitting the capacity correction mode; charging the batteries, and calculating the SOC; judging whether the maximum voltage V<max> of the battery pack is higher than charge cut-off voltage V<h> or not; finishing charging, storing the battery capacity Q accumulated in the charging process, and replacing the previous battery capacity Q<n> by the battery capacity Q; modifying the current battery capacity value to be Q, and modifying the value of the SOC. According to the method, the SOC values of the batteries and the stored electric quantity values are corrected at the end of the battery charging process, so that the accurate initial value of the SOC can be obtained after every time of charging is finished; furthermore, at the end of discharge, the batteries can select to enter the battery capacity correction mode, so that the current capacities of the batteries can be corrected, and thus the calculation error caused by battery aging can be eliminated.

The invention discloses a battery charge state detecting method. The method comprises the steps that the initial SOC of a battery is determined; the self-discharge effect of the battery is considered; a table look-up method is used to accurately estimate the SOC of the battery; an ampere-hour integral method is used to acquire the SOC estimation value of the battery of a next moment; a battery Thevenin model is combined, and an extended Kalman filter algorithm is used to correct the SOC of the battery; and finally, low power, over-current, over-temperature and the like of the battery are judged to carry out early warning and protection. According to the method provided by the invention, the influence of self-discharge of the battery on the battery capacity and the influence of temperature, the number of times of cycle charge and discharge and charge and discharge current on the rated capacity of battery are comprehensively considered, wherein self-discharge of the battery is caused by first time of running and downtime of the battery; error correcting is carried out on the SOC of the battery; and the accuracy is improved.

The invention provides a method for accurately estimating an SOC (State of Charge). The charge curves of a battery at different temperatures and different multiplying powers are utilized, the SOC is corrected according to monomer voltage when the battery is charged, and the estimate accuracy of the SOC is improved. The method comprises the two steps of low end correction and high end correction. The method provided by the invention has the advantages that the correcting opportunity of the SOC is increased, the estimate accuracy of the SOC is increased, and the method is simple and easy to realize, popularize and use. According to the invention, the low ends and the high ends of the charge curves are fully utilized to correct the SOC on the basis of an open-circuit voltage process and an ampere-hour integration process. As the low-end correction of the SOC is increased in the charge process, the estimate accuracy of the SOC under charge interruption conditions can be improved.

The invention relates to the technical field of power batteries of electric automobiles, and discloses a composite estimating method of a power battery SOC based on a PNGV equivalent circuit model. The composite estimating method comprises the following steps that A, the open-circuit voltage of the power battery is detected; B, an open-circuit voltage method is used for calculating the primary SOC (t0) of the power battery; C, in the time period of t0-t1, an EKF algorithm is used for correcting the primary SOC (t0), and an SOC (t1) is obtained; D, in the time period of t1-t2, an improved ampere-hour integral method is used for estimating; E, when the power battery is continuously used, the steps from the step C to the step D are circulated; the t0 represents the primary time, and the t1 and t2 represent the time points after the t0. According to the composite estimating method of the power battery SOC based on the PNGV equivalent circuit model, the correction coefficients of influencing factors such as the charging and discharging currents of the power battery, the environment temperatures, the battery health state are considered, the improved ampere-hour internal method is used, and the defect that the influence from outside factors is large when the ampere-hour internal method is used for estimating the power battery SOC can be overcome. The advantage that an EKF method has a powerful correcting effect on initial errors of the SOC is fully used.

The invention discloses methods for predicting the SOC of a vehicle-mounted power battery of an electric automobile. The methods for predicting the SOC of the vehicle-mounted power battery of the electric automobile comprises the method for predicting the SOC in the charging mode, and the method for predicting the SOC in the discharging mode. The methods for predicting the SOC of the vehicle-mounted power battery of the electric automobile are based on an existing open-circuit voltage method and an existing ampere-hour integral method, an optimal battery model is obtained through curve fitting of the temperature, the voltage, the charging current and the discharging current of the battery, branch processing is conducted on the charging state and discharging state when an SOC value is estimated in real time, a corresponding SOC value is searched for in a model library by means of the immobilized battery model according to the temperature characteristic, the voltage characteristic and the current characteristic, of the battery, the SOC value is modified according to model errors, and the estimation accuracy is greatly improved.

The invention discloses a battery SOC (state of charge) correction method, comprising: matching, by a battery management system, acquired battery voltage, current and temperature values with preset OCV (open circuit voltage) curve table and EDV (end of discharge voltage) curve table to find out OCV state theoretical SOC value SOC<o> and EDV theoretical SOC value SOC<e>, and acquiring DeltaSOC<o> and DeltaSOC<e> according to current SOC value SOCP; comparing DeltaSOC<o> and DeltaSOC<e>, executing DeltaSOC<o> or DeltaSOC<e> to correct the SOC value in conjunction with standing time for triggering DeltaSOC<o> correction settings and voltage value for triggering DeltaSOC<e> correction settings, and determining a correction coefficient; using the correction coefficient as ampere-hour integral to calculate a variable factor of a battery real-time SOC variable, and smoothing a discharge curve so that SOC is gradually close to true value. The SOC correction method of the invention can estimate battery SOC more accurately.

The present invention relates to a battery SOH estimation method of an energy storage power station BMS. The method comprises the following steps: the step S1: electric operation on a system; the step S2: circle and timing collection of battery real time data and extraction of a single voltage, a single internal resistance, a battery temperature, a charge-discharge current and a charge-discharge electric quantity from the real time data; the step S3: respective estimation of a battery SOH through an open-circuit voltage method, an ampere-hour integral method, a Kalman filtering method and a resistance method via the combination of nominal parameter of the battery and collected real time data of the battery; and the step S4: comprehensive calculation of the battery SOH obtained by estimation through a historical data amendment method to work out a model for calculating SOH coefficients, wherein the model for calculating SOH coefficients may be used in subsequent each SOH analytical calculation. The estimation method described herein is strong adaptable to storage batteries under various environments, and has a self-calibration function and high estimation accuracy, wherein the estimated value is approximate to the real value, thereby the real health status of the battery may be relatively accurately reflected.

The invention discloses a power battery water-cooling unit system and an intelligent temperature difference control method thereof. The power battery water-cooling unit system comprises a water cooling unit and a water cooling unit controller, wherein the water cooling unit comprises a compressor, a pressure switch, a condenser, a condensation fan, a liquid storing and drying tank, an expansion valve, a plate type exchanger, a PTC heater, a three-way valve, an inlet water temperature sensor, a power battery box, an outlet water temperature sensor, a water tank and an electronic water pump, wherein the compressor, the pressure switch, the condenser, the condensation fan, the liquid storing and drying tank, the expansion valve and the plate type exchanger are connected with each other in series. Through the power battery water-cooling unit system, the automation degree of the control of the power battery water-cooling unit is improved; the control system is capable of judging the difference between the battery average temperature and the outlet water temperature of the water cooling unit, adaptively adjusting operation rotation rate of the compressor, the electronic water pump and the condensation fan in real time through an intelligent control algorithm, indirectly controlling a battery to operate in the optimal temperature range and the optimal temperature difference range and predicting the battery temperature trend in advance through ampere-hour integral.

Electrochemical energy storage devices, such as alkali metal-oxygen battery cells (e.g., non-aqueous lithium-air cells), have a cathode architecture with a porous structure and pore composition that is tailored to improve cell performance, especially as it pertains to one or more of the discharge/charge rate, cycle life, and delivered ampere-hour capacity. A porous cathode architecture having a pore volume that is derived from pores of varying radii wherein the pore size distribution is tailored as a function of the architecture thickness is one way to achieve one or more of the aforementioned cell performance improvements.

The invention provides an online estimation method of a power lead-acid battery of a special engineering vehicle. The method comprises the following steps: 1, calculating an initial residual capacity SOC0 and an effective rated capacity Qt of a battery when a battery management system is powered on; 2, during charge and discharge process of the battery, using a corrected ampere-hour integration method to calculate the residual capacity of the battery; 3, using an internal resistance method based on a battery model to correct the residual capacity; and 4, outputting an online estimation result. The method utilizes a simple and practical SOC estimation model, integrates various factors, which affect the residual capacity of the storage battery, into the battery model, improves the estimation precision of the residual capacity of the battery, and has great practical meaning.

The invention provides an evaluation method of SOC of a power lithium ion battery management system. The method includes: firstly, simulating the battery by employing a first-order RC equivalent circuit model according to internal electrical characteristics of a lithium ion power battery; determining a polarized internal resistance R1, a polarized capacitance C1 and an ohmic internal resistance R0 etc. of the power battery as key parameters; performing preliminary identification on model parameters with the combination of a charge and discharge experiment; and on the basis, with the combination of a conventional SOC evaluation method, aiming at the lithium ion power battery, establishing an SOC estimation strategy based on Kalman filtering and with the combination of open-circuit voltage correction and an ampere-hour integration method. The test shows that the SOC estimation precision can reach less than 3%.