CN114859251B - Method and device for calculating battery charging remaining time and vehicle - Google Patents
Method and device for calculating battery charging remaining time and vehicle Download PDFInfo
- Publication number
- CN114859251B CN114859251B CN202110074957.0A CN202110074957A CN114859251B CN 114859251 B CN114859251 B CN 114859251B CN 202110074957 A CN202110074957 A CN 202110074957A CN 114859251 B CN114859251 B CN 114859251B
- Authority
- CN
- China
- Prior art keywords
- charging
- current
- stage
- battery
- voltage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 230000008569 process Effects 0.000 claims abstract description 31
- 238000004364 calculation method Methods 0.000 claims description 48
- 238000010801 machine learning Methods 0.000 claims description 21
- 230000006870 function Effects 0.000 claims description 16
- 230000008859 change Effects 0.000 claims description 11
- 238000012937 correction Methods 0.000 description 12
- 230000006872 improvement Effects 0.000 description 7
- 238000010438 heat treatment Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000002269 spontaneous effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
-
- 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
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
-
- 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
- G01R31/005—Testing of electric installations on transport means
- G01R31/006—Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks
-
- 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]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
-
- 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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Combustion & Propulsion (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a method and a device for calculating battery charging remaining time and a vehicle, wherein the method comprises the following steps: acquiring current state data of a battery and output power of a charging pile; before charging starts, predicting a charging process and estimated charging time of the battery according to current state data of the battery and output power of the charging pile; the charging process comprises a temperature control stage, a step current charging stage and a voltage following stage; in the temperature control stage, obtaining the charging residual time according to the first actual charging time and the estimated charging time; in the step current charging stage, charging residual time is obtained according to the first actual charging time, the second actual charging time and the estimated charging time; in the voltage following stage, calculating the charging remaining time according to the current voltage and the preset charging cut-off voltage; the method for predicting the residual charging time of the electric automobile by stages solves the problem that the temperature control stage and the voltage following stage are difficult to predict, and can effectively improve the estimation accuracy of the residual charging time of the electric automobile.
Description
Technical Field
The invention relates to the technical field of power batteries, in particular to a battery charging remaining time calculation method and device and a vehicle.
Background
As pure electric vehicles are becoming more popular, charging problems are becoming more important, and charging time of electric vehicles is longer than refueling phase time of fuel vehicles. When a user charges, the user always hopes to obtain accurate current charging remaining time, and the charging remaining time can intuitively display the waiting time required by the user, so that the charging remaining time is an important index in the charging management technology. The accurate estimation of the remaining charging time can provide time basis for functions such as charging reservation and remote reminding.
The remaining charge time refers to the time required for the battery to be charged from the current charge amount to 100% of the charge amount calculated by the algorithm when the battery is in a charged state. The existing method for calculating the charge remaining time mainly calculates the remaining charge capacity through the SOC and the battery pack capacity; then integrating according to the real-time charging current and the charging time to obtain real-time charging electric quantity; and finally, obtaining the charging residual time according to the proportional relation between the real-time charging electric quantity and the residual charging capacity.
However, in an actual scene, the calculated charging time value fluctuates greatly and inaccurately due to the influence of factors such as ambient temperature, power grid fluctuation, charging mode, thermal management and the like, so that the estimation error of the charging remaining time is large.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a method and apparatus for calculating remaining battery charge time, and a vehicle, which can effectively improve the estimation accuracy of the remaining battery charge time of an electric vehicle.
In a first aspect, an embodiment of the present invention provides a method for calculating a remaining time of battery charging, including:
Acquiring current state data of a battery;
Obtaining the output power of the charging pile;
before charging starts, predicting a charging process and estimated charging time of the battery according to current state data of the battery and output power of the charging pile; the charging process comprises a temperature control stage, a step current charging stage and a voltage following stage;
In the temperature control stage, acquiring a first actual charging time of the temperature control stage, and acquiring a charging remaining time according to the first actual charging time and the estimated charging time;
Acquiring a second actual charging time of the step current charging stage in the step current charging stage, and acquiring a charging remaining time according to the first actual charging time, the second actual charging time and the estimated charging time;
and in the voltage following stage, acquiring the current voltage of the battery, and calculating the charging remaining time according to the current voltage and the preset charging cut-off voltage.
As an improvement of the above solution, predicting the charging process and the estimated charging time of the battery according to the current state data of the battery and the output power of the charging pile includes:
Calculating a first estimated charging duration corresponding to the temperature control stage according to the current SOC, the temperature rise rate, the temperature drop rate and the current battery temperature;
Calculating a first SOC value corresponding to the working temperature according to the preset working temperature and charging MAP, wherein the working temperature is the battery temperature detected at the end of the temperature control stage;
Calculating a second estimated charging duration and a second SOC value corresponding to the step current charging stage according to the charging MAP, the first SOC value and the output power of the charging pile; the second SOC value is the SOC of the battery at the end of the step current charging stage;
Acquiring a last third actual charging duration and a last third estimated charging duration corresponding to a last voltage following stage of the battery;
Calculating a third estimated charging duration corresponding to the current voltage following stage according to the second SOC value, the last third actual charging duration and the last third estimated charging duration;
Calculating the estimated charging time according to the first estimated charging time, the second estimated charging time and the third estimated charging time.
As an improvement of the above solution, the calculating the first estimated charging duration corresponding to the temperature control stage according to the current SOC, the temperature rise rate, the temperature drop rate, and the current battery temperature includes:
inputting the current SOC, the temperature rise rate, the temperature drop rate and the current battery temperature into a preset online machine learning model to obtain a first estimated charging duration corresponding to the temperature control stage;
Acquiring a historical first estimated charging duration and a historical first actual charging duration of the battery in the temperature control stage;
Calculating a current error by adopting a preset error function according to the historical first estimated charging duration and the historical first actual charging duration;
And carrying out iterative computation on the fitting coefficient of the online machine learning model according to the current error to obtain an updated fitting coefficient value of the online machine learning model.
As an improvement of the foregoing solution, the calculating, according to the charging MAP, the first SOC value, and the output power of the charging pile, a second estimated charging duration and a second SOC value corresponding to the step current charging stage includes:
Calculating the maximum charging power of the battery in the step current charging stage according to the charging MAP;
According to the maximum charging power, the output power, the first SOC value and the charging MAP, calculating charging current and a phase SOC value at the end of a corresponding phase in a staged manner; the stage SOC value at the end of the last stage is the second SOC value;
And calculating the phase charging time of each phase according to the charging current corresponding to each phase and the phase SOC value at the end of the corresponding phase, and calculating the second estimated charging time corresponding to the step current charging phase according to the phase charging time of each phase.
As an improvement of the above-described aspect, the step of calculating the charging current and the phase SOC value at the end of the corresponding phase in stages based on the maximum charging power, the output power, the first SOC value, and the charging MAP includes:
When the maximum charging power is larger than the output power, charging current is calculated in stages according to the charging MAP, and charging current corresponding to a plurality of stages is obtained; calculating a stage SOC value at the end of each stage according to the MAP and the first SOC value;
when the maximum charging power is smaller than or equal to the output power, calculating charging current corresponding to the current stage according to the output power; and calculating the phase SOC value at the end of the current phase according to the phase SOC value at the end of the previous phase and the charging current of the current phase.
As an improvement of the above solution, the method further includes:
Calculating an initial SOC value when entering the voltage following stage according to the second SOC value, a standard SOC value when entering the voltage following stage obtained through voltage table lookup and a control voltage when entering the voltage following stage;
And updating the second SOC value by adopting the initial SOC value.
As an improvement of the above solution, the calculating a third estimated charging period corresponding to the current voltage following stage according to the second SOC value, the last third actual charging period, and the last third estimated charging period includes:
And carrying out iterative computation on the last third estimated charge duration according to the last third actual charge duration and the last third estimated charge duration to obtain a third estimated charge duration required by the battery from the second SOC value to a target SOC.
As an improvement of the above solution, the calculating the charging remaining time according to the current voltage and a preset charging cut-off voltage includes:
In the voltage following stage, calculating a first voltage difference value between the charge cut-off voltage and the current voltage;
Counting the boosting time from the control voltage to the current voltage when the voltage following stage is entered; calculating a voltage change rate according to the boosting time, the second voltage difference value of the current voltage and the control voltage when the voltage following stage is entered;
and calculating the charging remaining time after entering the voltage following stage according to the difference value and the voltage change rate.
In a second aspect, an embodiment of the present invention provides a battery charge remaining time calculation apparatus, including:
the battery data acquisition module is used for acquiring current state data of the battery;
The charging pile data acquisition module is used for acquiring the output power of the charging pile;
The charging time prediction module is used for predicting the charging process and the estimated charging time of the battery according to the current state data of the battery and the output power of the charging pile before charging starts; the charging process comprises a temperature control stage, a step current charging stage and a voltage following stage;
The first remaining time calculation module is used for acquiring a first actual charging time of the temperature control stage in the temperature control stage, and acquiring a charging remaining time according to the first actual charging time and the estimated charging time;
the second remaining time calculation module is used for obtaining second actual charging time of the step current charging stage in the step current charging stage, and obtaining charging remaining time according to the first actual charging time, the second actual charging time and the estimated charging time;
and the third remaining time calculation module is used for acquiring the current voltage of the battery in the voltage following stage and calculating the remaining time of charging according to the current voltage and the preset charging cut-off voltage.
In a third aspect, an embodiment of the present invention provides a vehicle including the battery charge remaining time calculating device according to the second embodiment.
Compared with the prior art, the embodiment of the invention has the beneficial effects that: the battery charging remaining time calculating method comprises the following steps: acquiring current state data of a battery; obtaining the output power of the charging pile; before charging starts, predicting a charging process and estimated charging time of the battery according to current state data of the battery and output power of the charging pile; the charging process comprises a temperature control stage, a step current charging stage and a voltage following stage; in the temperature control stage, acquiring a first actual charging time of the temperature control stage, and acquiring a charging remaining time according to the first actual charging time and the estimated charging time; acquiring a second actual charging time of the step current charging stage in the step current charging stage, and acquiring a charging remaining time according to the first actual charging time, the second actual charging time and the estimated charging time; and in the voltage following stage, acquiring the current voltage of the battery, and calculating the charging remaining time according to the current voltage and the preset charging cut-off voltage. The method of stage prediction, namely a temperature control stage, a step current stage and a voltage following stage, solves the problem that the temperature control stage and the voltage following stage are difficult to predict, and can effectively improve the estimation accuracy of the residual charging time of the electric automobile.
Drawings
In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for calculating remaining battery charge time according to a first embodiment of the present invention;
Fig. 2 is a schematic block diagram of a battery charge remaining time calculation flow provided by an embodiment of the present invention;
Fig. 3 is a schematic diagram of a battery charge remaining time calculating device according to a second embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flowchart of a method for calculating remaining battery charge time according to a first embodiment of the present invention includes the following steps:
S1: acquiring current state data of a battery; wherein the current state data includes: current SOC, rate of temperature rise, rate of temperature drop, current battery temperature.
The temperature rise rate/temperature drop rate is determined by the temperature characteristics of the battery and the temperature control system characteristics of the vehicle in which the battery is located, and can be basically determined to be a certain value after the battery is mounted on the vehicle without considering self-heating. The current state data of the battery also comprises a charging window, wherein the charging window is determined by the electrical characteristics of the battery core and refers to a charging current limit value which allows the battery to be charged under different temperature and electric quantity conditions; during the whole charging process of the battery, the charging current of the battery needs to be controlled within the charging window range so as to avoid that the service life of the battery is influenced by the excessive charging current.
S2: and obtaining the output power of the charging pile.
The output power of the charging pile determines the charging capacity of the charging pile, and the larger the output power is, the faster the charging speed is.
S3: before charging starts, predicting a charging process and estimated charging time of the battery according to current state data of the battery and output power of the charging pile; the charging process comprises a temperature control stage, a step current charging stage and a voltage following stage.
Before charging starts, firstly, a charging process and a predicted charging time prediction are carried out: the charging process of the battery, i.e., the process of increasing from the current SOC to the target SOC, may include three phases, the first phase being a temperature control phase: adjusting the current battery temperature of the battery to the working temperature of the battery according to the temperature rise rate/temperature drop rate; the second phase is the step current charging phase: at this stage, the temperature of the battery is already at the optimal operating temperature, and the charging current of the battery depends on the charging MAP (battery temperature, charging current versus SOC) of the battery and the output power of the charger, at which time the battery is charged in a step-current manner until the present voltage of the battery reaches the control voltage that enters the voltage following stage. The third phase is the voltage following phase: in this stage, since the control voltage of the battery is a fixed value and the cut-off voltage at the end of the end charging is also a fixed value, the charging time is relatively stable, provided that the charging current at this stage is fixed. Based on the current state data of the battery and the output power of the charging pile, the charging process of the battery comprises a temperature control stage, a step current charging stage and a voltage following stage, and the estimated charging time of the charging process of the battery is predicted.
S4: in the temperature control stage, acquiring a first actual charging time of the temperature control stage, and acquiring a charging remaining time according to the first actual charging time and the estimated charging time;
s5: acquiring a second actual charging time of the step current charging stage in the step current charging stage, and acquiring a charging remaining time according to the first actual charging time, the second actual charging time and the estimated charging time;
s5: and in the voltage following stage, acquiring the current voltage of the battery, and calculating the charging remaining time according to the current voltage and the preset charging cut-off voltage.
As shown in fig. 2, the actual charging time is timed and recorded after entering the charging process. In the temperature control stage, the difference between the estimated charging time and the current first actual charging time can be calculated to obtain the charging remaining time; in the step current charging stage, the sum of the first actual charging time at the end of the temperature control stage and the current second actual charging time of the step current charging stage can be calculated as the current actual charging time, and the difference between the estimated charging time and the current actual charging time is calculated to obtain the charging remaining time; in the voltage following stage, the charge remaining time may be calculated directly from the current voltage of the battery and a preset charge cutoff voltage, so that the charge remaining time of the battery is displayed as 0 when the charge cutoff voltage is reached.
In the embodiment of the invention, the estimated charging time of the charging process is predicted based on the current state data of the battery and the output power of the charging pile, and the influences of factors such as a thermal management strategy, the power of the charging pile, the thermal characteristics of the battery pack and the like are considered, so that the algorithm coverage is wider, and the method can adapt to different use environments and different charging piles; in addition, a sectional type prediction, namely a temperature control stage, a step current stage and a voltage following stage is adopted, prediction is carried out aiming at different stages, so that the final estimated charging time is obtained, the problem that the temperature control stage and the voltage following stage are difficult to predict is solved, in the charging process, the time actually required by the stage is compared with the prediction every time the preset stage is completed, so that the final charging remaining time is determined, and the estimation error can be reduced and the estimation precision of the remaining charging time of the electric automobile is effectively improved.
In an alternative embodiment, the predicting the charging process and the estimated charging time of the battery according to the current state data of the battery and the output power of the charging pile includes:
Calculating a first estimated charging duration corresponding to the temperature control stage according to the current SOC, the temperature rise rate, the temperature drop rate and the current battery temperature;
Calculating a first SOC value corresponding to the working temperature according to the preset working temperature and charging MAP, wherein the working temperature is the battery temperature detected at the end of the temperature control stage;
Calculating a second estimated charging duration and a second SOC value corresponding to the step current charging stage according to the charging MAP, the first SOC value and the output power of the charging pile; the second SOC value is the SOC of the battery at the end of the step current charging stage;
Acquiring a last third actual charging duration and a last third estimated charging duration corresponding to a last voltage following stage of the battery;
Calculating a third estimated charging duration corresponding to the current voltage following stage according to the second SOC value, the last third actual charging duration and the last third estimated charging duration;
Calculating the estimated charging time according to the first estimated charging time, the second estimated charging time and the third estimated charging time.
In an embodiment of the present invention, by predicting a charging process of a battery, the charging process includes: the temperature control stage, the step current charging stage and the voltage following stage respectively estimate the time length T 1、T2、T3, and sum the first estimated charging time length T 1 of the temperature control stage, the second estimated charging time length T 2 of the step current charging stage and the third estimated charging time length T 3 of the voltage following stage, so that the overall estimated charging time T=T 1+T2+T3 is predicted. Based on the influence factors, a staged prediction method, namely a temperature control stage, a step current stage and a voltage following stage is adopted, and different prediction algorithms are adopted aiming at the characteristics of different stages, so that the problem that the temperature control stage and the voltage following stage are difficult to predict is solved.
In an optional embodiment, the calculating the first estimated charging duration corresponding to the temperature control stage according to the current SOC, the temperature rise rate, the temperature drop rate, and the current battery temperature includes:
inputting the current SOC, the temperature rise rate, the temperature drop rate and the current battery temperature into a preset online machine learning model to obtain a first estimated charging duration corresponding to the temperature control stage;
Acquiring a historical first estimated charging duration and a historical first actual charging duration of the battery in the temperature control stage;
Calculating a current error by adopting a preset error function according to the historical first estimated charging duration and the historical first actual charging duration;
And carrying out iterative computation on the fitting coefficient of the online machine learning model according to the current error to obtain an updated fitting coefficient value of the online machine learning model.
In the temperature control stage, a preset online machine learning model is adopted to estimate the first estimated charging time length, and the estimation function is as follows:
h(θ)＝θ0*x0+θ1*x1+θ2*x2+θ3*x3 (1)
Wherein h (θ) represents a first estimated charging duration T 1 in the temperature control stage;
θ 0 represents an initial time, i.e., a time from the start of charging to the start of temperature rise/fall of the battery, which is determined by a response time of a stability control system of the vehicle;
x 1 represents the current battery temperature of the battery, i.e., the starting temperature at which the battery starts to charge;
x 2 represents the temperature rise rate or the temperature drop rate of the battery, if the current battery temperature is lower than the working temperature, the battery needs to be subjected to temperature rise treatment, and if the current battery temperature is higher than the working temperature, the battery needs to be subjected to temperature drop treatment;
x 3 represents the current SOC of the battery;
θ 1、θ2、θ3 represents the fitting coefficients of the estimation function of the online machine learning model.
In the embodiment of the present invention, if x 0 =1, the estimation function may be deformed into the following vector form:
It should be noted that the form of the estimation function h (θ) is not unique. Through the estimation function h (θ), the first estimated charging duration T 1 in the current temperature control stage can be calculated.
Wherein the error function of the online machine learning model is set as:
it should be noted that the design of the error function is not exclusive.
Wherein m represents the total data amount of the historical first estimated charging duration/the historical first actual charging duration, and can be determined in a calibrated manner; i represents the i-th charge;
h (x i) represents a historical first estimated charge duration;
y i denotes the historical first actual charge duration.
For any θ, the iteration rule is as follows:
alpha is a correction factor.
In the embodiment of the invention, after the last temperature control stage is finished, error calculation is carried out on the fitting coefficient in the estimation function of the online machine learning model by adopting an error function, and then iterative calculation is carried out on the fitting coefficient based on the calculated error and the iterative rule, so that a fitting coefficient update value is obtained; and updating the fitting coefficient in the estimation function by adopting the fitting coefficient updating value, so that under the condition that the updated fitting coefficient theta is determined, the updated fitting coefficient is adopted to estimate the first estimated charging time length in the current temperature control stage, and h (theta) =theta 0+θ1*x1+θ2*x2+θ3*x3 is obtained.
When the program runs for the first time, the initial value of the fitting coefficient theta can be input through calibration, then an error algorithm is adopted to correct the theta according to the errors of the historical first actual charging time and the historical first estimated charging time, and then an iteration rule is adopted to correct the theta. The initial value of theta can be used for off-line training through test data, and is determined after test calibration. The first actual charging time and the first estimated charging time of each charging are recorded and used as the basis of an online machine learning model.
Based on the first estimated charging duration obtained by the estimation, in combination with the charging MAP of the battery, a first SOC value at the end of the temperature control stage can be estimated and recorded as SOC 1. Since the battery temperature at the end of the temperature control stage is the operating temperature, at this time, the SOC corresponding to the operating temperature may be directly queried through the charging MAP as the first SOC value.
In an optional embodiment, the calculating, according to the charging MAP, the first SOC value, and the output power of the charging pile, a second estimated charging duration and a second SOC value corresponding to the step current charging stage includes:
Calculating the maximum charging power of the battery in the step current charging stage according to the charging MAP;
According to the maximum charging power, the output power, the first SOC value and the charging MAP, calculating charging current and a phase SOC value at the end of a corresponding phase in a staged manner; the stage SOC value at the end of the last stage is the second SOC value;
And calculating the phase charging time of each phase according to the charging current corresponding to each phase and the phase SOC value at the end of the corresponding phase, and calculating the second estimated charging time corresponding to the step current charging phase according to the phase charging time of each phase.
In an alternative embodiment, the calculating the charging current and the phase SOC value at the end of the corresponding phase in stages according to the maximum charging power, the output power, the first SOC value, and the charging MAP includes:
When the maximum charging power is larger than the output power, charging current is calculated in stages according to the charging MAP, and charging current corresponding to a plurality of stages is obtained; calculating a stage SOC value at the end of each stage according to the MAP and the first SOC value;
when the maximum charging power is smaller than or equal to the output power, calculating charging current corresponding to the current stage according to the output power; and calculating the phase SOC value at the end of the current phase according to the phase SOC value at the end of the previous phase and the charging current of the current phase.
Since the temperature of the battery reaches the optimal working temperature when entering the step current charging stage, the first SOC value is used as the initial SOC of the step current charging stage, and the charging current of the step current charging stage depends on the output power of the charging MAP and the charging pile, the step estimated charging time calculation can be performed based on the maximum charging power and the output power. Specifically: comparing the maximum charging power with the output power; the period of the maximum charging power being less than or equal to the output power comprises a MAP following stage, and the stage of the maximum charging power being less than or equal to the output power comprises a constant power stage; in the MAP following stage, acquiring charging current of each stage and a corresponding stage SOC value when each stage is finished by inquiring the charging MAP; in a constant power stage, the charging current of the battery is limited and the output power of the charging pile is limited, and at the moment, the charging current in the current stage is calculated according to the output power, and the charging is carried out according to the charging current in the current stage and is continued to a voltage following stage; and finally, summing the phase charging time of each phase to obtain a second estimated charging duration T 2 of the step current charging phase, wherein a specific estimation algorithm is as follows:
Wherein k represents the k-th stage in the step current charging stages, namely the serial numbers of different stages divided by different charging currents;
C represents the capacity (Ah) of the battery;
t k denotes the phase charging time of the kth phase;
Gamma denotes the figure of merit of the grid, i.e. the coefficient of the theoretical current slightly lower than the actual current due to grid fluctuations, determined by calibration.
Δsoc k＝SOCk-SOCk-1,k＝1,2,…,n,SOCk represents the SOC value at the end of the kth phase, i.e. at the beginning of the kth+1 phase.
In an alternative embodiment, the method further comprises:
Calculating an initial SOC value when entering the voltage following stage according to the second SOC value, a standard SOC value when entering the voltage following stage obtained through voltage table lookup and a control voltage when entering the voltage following stage;
And updating the second SOC value by adopting the initial SOC value.
In order to prevent overcharge, it is necessary to perform correction processing on the second SOC value after the step current charging phase is ended or before the step current charging phase is entered into the voltage following phase. Since the control condition for entering the voltage following stage is the cell voltage, and there is a certain error between the cell voltage and the SOC due to the error problem, the second SOC value for entering the voltage following stage, i.e. the value of SOC n, is not completely determined, may be higher, may be lower, and thus the following correction is performed:
wherein, SOC n represents a second SOC value before correction;
f ocv (U): look-up table function, look up corresponding standard SOC value through voltage;
u represents the control voltage entering the voltage following stage and is a certain value;
Beta represents a correction factor;
Δsoc represents the difference between the second SOC value before correction and the standard SOC value obtained by look-up table.
In an optional embodiment, the calculating, according to the second SOC value, the last third actual charging duration, and the last third estimated charging duration, a third estimated charging duration corresponding to the current voltage following stage includes:
And carrying out iterative computation on the last third estimated charge duration according to the last third actual charge duration and the last third estimated charge duration to obtain a third estimated charge duration required by the battery from the second SOC value to a target SOC.
And (3) designing an iterative formula of the third estimated charging duration in the voltage following stage by considering factors such as battery consistency, aging and the like:
T3 h＝T3 h-1+ρΔT (7)
Wherein T 3 h represents the third estimated charging time length in the current voltage following stage;
T 3 h-1 represents the last third estimated charging time length of the last voltage following stage;
ρ represents a correction factor for controlling the correction rate;
delta T represents the difference between the last third actual charging duration of the last voltage following stage and T 3 h-1;
In an alternative embodiment, the calculating the charging remaining time according to the current voltage and the preset charging cut-off voltage includes:
In the voltage following stage, calculating a first voltage difference value between the charge cut-off voltage and the current voltage;
Counting the boosting time from the control voltage to the current voltage when the voltage following stage is entered; calculating a voltage change rate according to the boosting time, the second voltage difference value of the current voltage and the control voltage when the voltage following stage is entered;
and calculating the charging remaining time after entering the voltage following stage according to the difference value and the voltage change rate.
After estimating a first estimated charging time length corresponding to the temperature control stage, a second estimated charging time length corresponding to the step current charging stage and a third estimated charging time length corresponding to the voltage following stage, obtaining an overall estimated charging time and displaying the overall estimated charging time to a user, and then entering a charging process.
After the start, recording the actual charging time of each of the temperature control stage, the step current charging stage and the voltage following stage, and after each stage is finished, calculating the actual charging time of each stage and the estimated charging time for comparison, and calculating a time error as a decision basis for real-time correction;
t real represents the actual charging time length of the current charging stage;
t esti represents the estimated charging time length of the current charging stage;
Delta T represents the difference between the actual charging duration and the estimated charging duration of the current stage of the last charging;
for example, after the temperature control stage is finished, when the correction is judged to be unnecessary through the formula (8), T 2+T3 can be directly adopted as the charging remaining time after the temperature control stage is finished, otherwise, the difference between the estimated charging time and the first actual charging time length is calculated to be used as the charging remaining time after the temperature control stage is finished; similarly, after the step current charging stage is finished, when it is determined that correction is not required through the formula (8), T 3 can be directly adopted as the charging remaining time after the temperature control stage is finished, otherwise, the difference between the estimated charging time and the first actual charging time length and the second actual charging time length is calculated to be used as the charging remaining time after the step current charging stage is finished.
And in the voltage following stage, a gradual convergence algorithm is adopted to gradually converge the charging time following voltage value to 0, namely, the charging remaining time is 0 when the charging cut-off voltage is reached. The gradual convergence algorithm is as follows:
Wherein T re represents the charge remaining time to enter the voltage following phase;
the voltage change rate, i.e. the time required for the voltage to rise deltau, is deltat;
U 2 denotes the current voltage;
U 1 denotes a charge cutoff voltage.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
1. the method adopts a staged prediction method, namely a temperature control stage, a step current stage and a voltage following stage, and adopts different prediction algorithms aiming at the characteristics of different stages, so that the problem that the temperature control stage and the voltage following stage are difficult to predict is solved.
2. The influence of the environmental temperature, the thermal management strategy, the power of the charging pile and the thermal characteristics of the battery pack are considered when the time is estimated, so that the algorithm coverage is wider, and the self-adaptive online machine learning algorithm is combined, so that the method can adapt to different use environments and different charging piles.
3. For the temperature control stage of the estimation difficulty comparison, an online machine learning algorithm is adopted, parameters are corrected through the machine learning algorithm according to actual parameters of each charge, so that the estimation result can continuously improve the estimation accuracy of the charging time required by the temperature control stage along with the increase of the use times, and the problem that the charging time is difficult to calculate due to the fact that the charging current in the temperature control stage is influenced by the charge state, the heating strategy, the heat resistance and the heat capacity of the battery pack and the spontaneous heating of the battery pack at the same time is solved.
4. And for the step current stage, dividing a voltage following stage at the tail end, and estimating the SOC of the demarcation point to ensure that the charge residual time of the step current stage is more accurate.
5. And in the voltage following stage of the charging terminal, the charging residual time is corrected to 0 at the charging stop moment, so that the charging residual time is estimated more accurately, and the experience of a client is improved. Specifically, in the voltage following stage of the charging terminal, an adaptive correction method based on the voltage change rate is adopted, so that the displayed terminal charging time is continuously corrected and converged to the real charging time.
Referring to fig. 3, a second embodiment of the present invention provides a battery charge remaining time calculating device, including:
the battery data acquisition module 1 is used for acquiring current state data of the battery;
the charging pile data acquisition module 2 is used for acquiring the output power of the charging pile;
The charging time prediction module 3 is used for predicting the charging process and the estimated charging time of the battery according to the current state data of the battery and the output power of the charging pile before charging starts; the charging process comprises a temperature control stage, a step current charging stage and a voltage following stage;
The first remaining time calculation module 4 is configured to obtain, in the temperature control stage, a first actual charging time of the temperature control stage, and obtain a charging remaining time according to the first actual charging time and the estimated charging time;
A second remaining time calculation module 5, configured to obtain, in the step current charging stage, a second actual charging time of the step current charging stage, and obtain a charging remaining time according to the first actual charging time, the second actual charging time, and the estimated charging time;
And the third remaining time calculating module 6 is configured to obtain the current voltage of the battery in the voltage following stage, and calculate the remaining time of charging according to the current voltage and a preset charging cut-off voltage.
In an alternative embodiment, the charge time prediction module 3 includes:
The temperature control duration calculation unit is used for calculating a first estimated charging duration corresponding to the temperature control stage according to the current SOC, the temperature rise rate, the temperature drop rate and the current battery temperature;
The first SCO calculation unit is used for calculating a first SOC value corresponding to the working temperature according to a preset working temperature and a charging MAP, wherein the working temperature is the battery temperature detected at the end of the temperature control stage;
The step current charging duration calculation unit is used for calculating a second estimated charging duration and a second SOC value corresponding to the step current charging stage according to the charging MAP, the first SOC value and the output power of the charging pile; the second SOC value is the SOC of the battery at the end of the step current charging stage;
The historical data acquisition unit is used for acquiring a last third actual charging duration and a last third estimated charging duration corresponding to a last voltage following stage of the battery;
The voltage following duration calculation unit is used for calculating a third estimated charging duration corresponding to the current voltage following stage according to the second SOC value, the last third actual charging duration and the last third estimated charging duration;
The total duration calculation unit is configured to calculate the estimated charging time according to the first estimated charging duration, the second estimated charging duration, and the third estimated charging duration.
In an alternative embodiment, the temperature control duration calculation unit includes:
The machine learning unit is used for inputting the current SOC, the temperature rise rate, the temperature drop rate and the current battery temperature into a preset online machine learning model to obtain a first estimated charging duration corresponding to the temperature control stage;
A historical temperature control duration obtaining unit, configured to obtain a historical first estimated charging duration and a historical first actual charging duration of the battery in the temperature control stage;
The error calculation unit is used for calculating the current error by adopting a preset error function according to the historical first estimated charging duration and the historical first actual charging duration;
and the fitting coefficient updating unit is used for carrying out iterative computation on the fitting coefficient of the online machine learning model according to the current error to obtain a fitting coefficient updating value of the online machine learning model.
In an alternative embodiment, the step current charging duration calculation unit includes:
A maximum charging power calculation unit, configured to calculate, according to the charging MAP, a maximum charging power of the battery in the step current charging stage;
a stage charging current calculation unit, configured to calculate, in stages, a charging current and a stage SOC value at the end of a corresponding stage according to the maximum charging power, the output power, the first SOC value, and the charging MAP; the stage SOC value at the end of the last stage is the second SOC value;
The phase charging time calculation unit is used for calculating the phase charging time of each phase according to the charging current corresponding to each phase and the phase SOC value when the corresponding phase is ended, and calculating the second estimated charging time corresponding to the step current charging phase according to the phase charging time of each phase.
In an alternative embodiment, the phase charging current calculation unit comprises:
The first charging current calculation unit is used for calculating charging current according to the charging MAP in stages when the maximum charging power is larger than the output power, so as to obtain charging currents corresponding to a plurality of stages; calculating a stage SOC value at the end of each stage according to the MAP and the first SOC value;
the second charging current calculation unit is used for calculating the charging current corresponding to the current stage according to the output power when the maximum charging power is smaller than or equal to the output power; and calculating the phase SOC value at the end of the current phase according to the phase SOC value at the end of the previous phase and the charging current of the current phase.
In an alternative embodiment, the apparatus further comprises:
the second SOC value calculation module is used for calculating an initial SOC value when entering the voltage following stage according to the second SOC value, a standard SOC value obtained through voltage table lookup when entering the voltage following stage and a control voltage when entering the voltage following stage;
and the second SOC value updating module is used for updating the second SOC value by adopting the initial SOC value.
In an alternative embodiment, the voltage following duration calculation unit includes:
And the iterative calculation unit is used for carrying out iterative calculation on the last third estimated charge duration according to the last third actual charge duration and the last third estimated charge duration to obtain a third estimated charge duration required by the battery from the second SOC value to a target SOC.
In an alternative embodiment, the third remaining time calculation module 6 includes:
a voltage difference calculation unit configured to calculate a first voltage difference between the charge cutoff voltage and the current voltage in the voltage following stage;
A voltage change calculation unit for counting a step-up time from a control voltage at the time of entering the voltage following stage to the current voltage; calculating a voltage change rate according to the boosting time, the second voltage difference value of the current voltage and the control voltage when the voltage following stage is entered;
And the remaining time calculation unit is used for calculating the charging remaining time after entering the voltage following stage according to the difference value and the voltage change rate.
It should be noted that, the working principle and technical effects of the battery charge remaining time calculating device according to the embodiment of the present invention are the same as those of the battery charge remaining time calculating method according to the first embodiment, and will not be described in detail herein.
A third embodiment of the present invention provides a vehicle including the battery charge remaining time calculating apparatus according to the second embodiment.
It should be noted that the above-described apparatus embodiments are merely illustrative, and the units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the drawings of the embodiment of the device provided by the invention, the connection relation between the modules represents that the modules have communication connection, and can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (8)
1. A battery charge remaining time calculation method, characterized by comprising:
Acquiring current state data of a battery;
Obtaining the output power of the charging pile;
before charging starts, predicting a charging process and estimated charging time of the battery according to current state data of the battery and output power of the charging pile; the charging process comprises a temperature control stage, a step current charging stage and a voltage following stage;
In the temperature control stage, acquiring a first actual charging time of the temperature control stage, and acquiring a charging remaining time according to the first actual charging time and the estimated charging time;
Acquiring a second actual charging time of the step current charging stage in the step current charging stage, and acquiring a charging remaining time according to the first actual charging time, the second actual charging time and the estimated charging time; in the step current charging stage, charging the battery in a step current mode until the current voltage of the battery reaches a control voltage entering a voltage following stage;
in the voltage following stage, acquiring the current voltage of the battery, and calculating the charging remaining time according to the current voltage and a preset charging cut-off voltage;
the current state data includes: current SOC, rate of temperature rise, rate of temperature drop, and current battery temperature; the predicting the charging process and the estimated charging time of the battery according to the current state data of the battery and the output power of the charging pile comprises the following steps:
Calculating a first estimated charging duration corresponding to the temperature control stage according to the current SOC, the temperature rise rate, the temperature drop rate and the current battery temperature;
Calculating a first SOC value corresponding to the working temperature according to the preset working temperature and charging MAP, wherein the working temperature is the battery temperature detected at the end of the temperature control stage; the charging MAP is the relationship between the battery temperature, the charging current and the SOC;
Calculating a second estimated charging duration and a second SOC value corresponding to the step current charging stage according to the charging MAP, the first SOC value and the output power of the charging pile; the second SOC value is the SOC of the battery at the end of the step current charging stage;
Acquiring a last third actual charging duration and a last third estimated charging duration corresponding to a last voltage following stage of the battery;
Performing iterative computation on the last third estimated charge duration according to the last third actual charge duration and the last third estimated charge duration to obtain a third estimated charge duration required by the battery from the second SOC value to a target SOC;
Calculating the estimated charging time according to the first estimated charging time, the second estimated charging time and the third estimated charging time.
2. The method for calculating a remaining battery charge time according to claim 1, wherein calculating a first estimated charge duration corresponding to the temperature control stage according to the current SOC, the temperature rise rate, the temperature drop rate, and the current battery temperature comprises:
inputting the current SOC, the temperature rise rate, the temperature drop rate and the current battery temperature into a preset online machine learning model to obtain a first estimated charging duration corresponding to the temperature control stage;
Acquiring a historical first estimated charging duration and a historical first actual charging duration of the battery in the temperature control stage;
Calculating a current error by adopting a preset error function according to the historical first estimated charging duration and the historical first actual charging duration;
And carrying out iterative computation on the fitting coefficient of the online machine learning model according to the current error to obtain an updated fitting coefficient value of the online machine learning model.
3. The method for calculating the remaining battery charge time according to claim 1, wherein calculating the second estimated charge duration and the second SOC value corresponding to the step current charging phase according to the charging MAP, the first SOC value, and the output power of the charging post comprises:
Calculating the maximum charging power of the battery in the step current charging stage according to the charging MAP;
According to the maximum charging power, the output power, the first SOC value and the charging MAP, calculating charging current and a phase SOC value at the end of a corresponding phase in a staged manner; the stage SOC value at the end of the last stage is the second SOC value;
And calculating the phase charging time of each phase according to the charging current corresponding to each phase and the phase SOC value at the end of the corresponding phase, and calculating the second estimated charging time corresponding to the step current charging phase according to the phase charging time of each phase.
4. The battery charge remaining time calculation method according to claim 3, wherein the calculating the charge current and the phase SOC value at the end of the corresponding phase in stages based on the maximum charge power, the output power, the first SOC value, and the charge MAP includes:
When the maximum charging power is larger than the output power, charging current is calculated in stages according to the charging MAP, and charging current corresponding to a plurality of stages is obtained; calculating a stage SOC value at the end of each stage according to the MAP and the first SOC value;
when the maximum charging power is smaller than or equal to the output power, calculating charging current corresponding to the current stage according to the output power; and calculating the phase SOC value at the end of the current phase according to the phase SOC value at the end of the previous phase and the charging current of the current phase.
5. The battery charge remaining time calculation method according to claim 1, characterized in that the method further comprises:
Calculating an initial SOC value when entering the voltage following stage according to the second SOC value, a standard SOC value when entering the voltage following stage obtained through voltage table lookup and a control voltage when entering the voltage following stage;
And updating the second SOC value by adopting the initial SOC value.
6. The battery charge remaining time calculation method according to any one of claims 1 to 5, wherein the calculating the charge remaining time from the present voltage and a preset charge cutoff voltage includes:
In the voltage following stage, calculating a first voltage difference value between the charge cut-off voltage and the current voltage;
Counting the boosting time from the control voltage to the current voltage when the voltage following stage is entered; calculating a voltage change rate according to the boosting time, the second voltage difference value of the current voltage and the control voltage when the voltage following stage is entered;
and calculating the charging remaining time after entering the voltage following stage according to the difference value and the voltage change rate.
7. A battery charge remaining time calculation apparatus, comprising:
the battery data acquisition module is used for acquiring current state data of the battery;
The charging pile data acquisition module is used for acquiring the output power of the charging pile;
The charging time prediction module is used for predicting the charging process and the estimated charging time of the battery according to the current state data of the battery and the output power of the charging pile before charging starts; the charging process comprises a temperature control stage, a step current charging stage and a voltage following stage;
The first remaining time calculation module is used for acquiring a first actual charging time of the temperature control stage in the temperature control stage, and acquiring a charging remaining time according to the first actual charging time and the estimated charging time;
The second remaining time calculation module is used for obtaining second actual charging time of the step current charging stage in the step current charging stage, and obtaining charging remaining time according to the first actual charging time, the second actual charging time and the estimated charging time; in the step current charging stage, charging the battery in a step current mode until the current voltage of the battery reaches a control voltage entering a voltage following stage;
A third remaining time calculation module, configured to obtain a current voltage of the battery in the voltage following stage, and calculate a charging remaining time according to the current voltage and a preset charging cut-off voltage;
the current state data includes: current SOC, rate of temperature rise, rate of temperature drop, and current battery temperature; the charge time prediction module includes:
The temperature control duration calculation unit is used for calculating a first estimated charging duration corresponding to the temperature control stage according to the current SOC, the temperature rise rate, the temperature drop rate and the current battery temperature;
a first SOC calculating unit, configured to calculate a first SOC value corresponding to a preset operating temperature and a charging MAP, where the operating temperature is a battery temperature detected at the end of the temperature control stage;
The step current charging duration calculation unit is used for calculating a second estimated charging duration and a second SOC value corresponding to the step current charging stage according to the charging MAP, the first SOC value and the output power of the charging pile; the second SOC value is the SOC of the battery at the end of the step current charging stage;
The historical data acquisition unit is used for acquiring a last third actual charging duration and a last third estimated charging duration corresponding to a last voltage following stage of the battery;
The voltage following duration calculation unit is used for calculating a third estimated charging duration corresponding to the current voltage following stage according to the second SOC value, the last third actual charging duration and the last third estimated charging duration;
The total duration calculation unit is used for calculating the estimated charging time according to the first estimated charging duration, the second estimated charging duration and the third estimated charging duration;
The voltage following duration calculation unit includes:
And the iterative calculation unit is used for carrying out iterative calculation on the last third estimated charge duration according to the last third actual charge duration and the last third estimated charge duration to obtain a third estimated charge duration required by the battery from the second SOC value to a target SOC.
8. A vehicle characterized in that it includes the battery charge remaining time calculating apparatus according to claim 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110074957.0A CN114859251B (en) | 2021-01-20 | 2021-01-20 | Method and device for calculating battery charging remaining time and vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110074957.0A CN114859251B (en) | 2021-01-20 | 2021-01-20 | Method and device for calculating battery charging remaining time and vehicle |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114859251A CN114859251A (en) | 2022-08-05 |
| CN114859251B true CN114859251B (en) | 2024-06-04 |
Family
ID=82622809
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110074957.0A Active CN114859251B (en) | 2021-01-20 | 2021-01-20 | Method and device for calculating battery charging remaining time and vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114859251B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116307192B (en) * | 2023-03-22 | 2023-09-01 | 北京鹅厂科技有限公司 | Method and device for estimating charging time of charging pile |
| CN116872787A (en) * | 2023-08-10 | 2023-10-13 | 力高(山东)新能源技术股份有限公司 | Battery remaining charging time calculation method based on BMS charging mode |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006114312A (en) * | 2004-10-14 | 2006-04-27 | Matsushita Electric Ind Co Ltd | Charging method of lead acid storage battery |
| CN102231551A (en) * | 2011-07-04 | 2011-11-02 | 上海工程技术大学 | Battery charger combining charging time and service life of battery |
| CN104112878A (en) * | 2013-04-18 | 2014-10-22 | 腾讯科技（深圳）有限公司 | Method and device for determining charging time and electronic device |
| CN105760656A (en) * | 2016-02-01 | 2016-07-13 | 惠州市蓝微新源技术有限公司 | Battery remaining charging time estimation method |
| CN105974321A (en) * | 2016-04-28 | 2016-09-28 | 努比亚技术有限公司 | Charging completion time remaining calculating apparatus and method thereof |
| CN106114254A (en) * | 2016-06-28 | 2016-11-16 | 广州汽车集团股份有限公司 | Intelligent charge control method, device and system |
| CN106816659A (en) * | 2015-11-30 | 2017-06-09 | 南京德朔实业有限公司 | Charging method and the charger using the method |
| CN108445400A (en) * | 2018-02-09 | 2018-08-24 | 惠州市亿能电子有限公司 | A kind of remaining charging time evaluation method of battery pack |
| CN108646190A (en) * | 2018-05-08 | 2018-10-12 | 宁德时代新能源科技股份有限公司 | Method, device and equipment for estimating residual charging time of battery |
| CN109975710A (en) * | 2019-04-01 | 2019-07-05 | 北京长城华冠汽车科技股份有限公司 | Calculate the calculation method and battery management system of vehicle battery charging time |
| CN110109024A (en) * | 2019-05-15 | 2019-08-09 | 广州小鹏汽车科技有限公司 | The prediction technique of battery charge time, device, battery management system |
| CN110182052A (en) * | 2019-04-15 | 2019-08-30 | 汉腾汽车有限公司 | A kind of control strategy of automobile power cell operating status |
| CN110909443A (en) * | 2019-10-12 | 2020-03-24 | 北京航空航天大学 | High-precision battery pack charging remaining time estimation method and system |
| CN111490305A (en) * | 2020-03-23 | 2020-08-04 | 上海思致汽车工程技术有限公司 | Charging remaining time display method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8712708B2 (en) * | 2010-10-25 | 2014-04-29 | Matti Samuli Halme | Method of estimating remaining constant current/constant voltage charging time |
| WO2017091231A1 (en) * | 2015-11-25 | 2017-06-01 | Hewlett-Packard Development Company, L.P. | Battery performance prediction |
-
2021
- 2021-01-20 CN CN202110074957.0A patent/CN114859251B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006114312A (en) * | 2004-10-14 | 2006-04-27 | Matsushita Electric Ind Co Ltd | Charging method of lead acid storage battery |
| CN102231551A (en) * | 2011-07-04 | 2011-11-02 | 上海工程技术大学 | Battery charger combining charging time and service life of battery |
| CN104112878A (en) * | 2013-04-18 | 2014-10-22 | 腾讯科技（深圳）有限公司 | Method and device for determining charging time and electronic device |
| CN106816659A (en) * | 2015-11-30 | 2017-06-09 | 南京德朔实业有限公司 | Charging method and the charger using the method |
| CN105760656A (en) * | 2016-02-01 | 2016-07-13 | 惠州市蓝微新源技术有限公司 | Battery remaining charging time estimation method |
| CN105974321A (en) * | 2016-04-28 | 2016-09-28 | 努比亚技术有限公司 | Charging completion time remaining calculating apparatus and method thereof |
| CN106114254A (en) * | 2016-06-28 | 2016-11-16 | 广州汽车集团股份有限公司 | Intelligent charge control method, device and system |
| CN108445400A (en) * | 2018-02-09 | 2018-08-24 | 惠州市亿能电子有限公司 | A kind of remaining charging time evaluation method of battery pack |
| CN108646190A (en) * | 2018-05-08 | 2018-10-12 | 宁德时代新能源科技股份有限公司 | Method, device and equipment for estimating residual charging time of battery |
| CN109975710A (en) * | 2019-04-01 | 2019-07-05 | 北京长城华冠汽车科技股份有限公司 | Calculate the calculation method and battery management system of vehicle battery charging time |
| CN110182052A (en) * | 2019-04-15 | 2019-08-30 | 汉腾汽车有限公司 | A kind of control strategy of automobile power cell operating status |
| CN110109024A (en) * | 2019-05-15 | 2019-08-09 | 广州小鹏汽车科技有限公司 | The prediction technique of battery charge time, device, battery management system |
| CN110909443A (en) * | 2019-10-12 | 2020-03-24 | 北京航空航天大学 | High-precision battery pack charging remaining time estimation method and system |
| CN111490305A (en) * | 2020-03-23 | 2020-08-04 | 上海思致汽车工程技术有限公司 | Charging remaining time display method |
Non-Patent Citations (2)
| Title |
|---|
| A novel multiobjective charging optimization method of power lithium-ion batteries based on charging time and temperature rise;Sun, JL et al.;INTERNATIONAL JOURNAL OF ENERGY RESEARCH;20191025;第43卷(第13期);第7672-7681页 * |
| 预测锂电池充电时间的三段 SVR 模型;林鹏程;电源技术;20180831;第42卷(第8期);第1155-1157页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114859251A (en) | 2022-08-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10359474B2 (en) | Charge state calculation device and charge state calculation method | |
| KR100985667B1 (en) | Apparatus for estimating of battery's open circuit voltage, Apparatus for estimating of batter's state of charge and Method for controlling the same | |
| JP5393837B2 (en) | Battery charge rate estimation device | |
| CN114859251B (en) | Method and device for calculating battery charging remaining time and vehicle | |
| CN110549900B (en) | Parameter updating method and device for electric automobile and power battery after standing | |
| CN110967638B (en) | Method, device, system and storage medium for estimating remaining usable energy of battery | |
| CN107632272B (en) | Battery discharge state of charge accurate estimation method based on battery core temperature prediction | |
| CN110967637B (en) | Method, device, system and storage medium for estimating allowable power of battery | |
| KR102057311B1 (en) | System and method for estimating the end-of-charge time of a battery | |
| CN111965558B (en) | SOH value acquisition method and system, electric vehicle and computer readable storage medium | |
| US20140278170A1 (en) | State of charge (soc) display for rechargeable battery | |
| CN110909443A (en) | High-precision battery pack charging remaining time estimation method and system | |
| CN112615075A (en) | Battery quick charging method and computer equipment | |
| CN114545265B (en) | Method and device for estimating state of charge of battery based on electrochemical model | |
| CN114072685A (en) | Method for estimating operating parameters of battery unit | |
| JP2020153881A (en) | Rechargeable battery degradation estimation device, and rechargeable battery degradation estimation method | |
| CN114347834A (en) | Vehicle control method, and generation method and device of charging duration prediction model | |
| CN110861535A (en) | Charging control method and device | |
| CN115308616A (en) | OCV-SOC calibration and estimation method, device, medium and vehicle | |
| CN112816876A (en) | Low-temperature battery residual capacity estimation method and device for rechargeable battery | |
| CN110333460B (en) | RC network parameter obtaining method and device of power battery pack and electric vehicle | |
| CN112477695B (en) | Battery management method and battery management system | |
| CN111781529B (en) | Battery pack monomer capacity estimation method and device based on cloud data of electric automobile | |
| CN114460475B (en) | Battery OCV determining method and device and battery SOC estimating method | |
| CN114814619A (en) | SOC estimation method of ternary-lithium iron hybrid battery pack |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |