CN113740740A - DC charging remaining time estimation method and system - Google Patents
DC charging remaining time estimation method and system Download PDFInfo
- Publication number
- CN113740740A CN113740740A CN202010461231.8A CN202010461231A CN113740740A CN 113740740 A CN113740740 A CN 113740740A CN 202010461231 A CN202010461231 A CN 202010461231A CN 113740740 A CN113740740 A CN 113740740A
- Authority
- CN
- China
- Prior art keywords
- charging
- interval
- charging interval
- battery
- preset
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 72
- 238000001816 cooling Methods 0.000 claims abstract description 35
- 238000010438 heat treatment Methods 0.000 claims abstract description 35
- 230000008569 process Effects 0.000 claims abstract description 29
- 230000008859 change Effects 0.000 claims description 11
- 238000012360 testing method Methods 0.000 claims description 8
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
本发明涉及直流充电剩余时间估算方法及其系统，所述方法包括：步骤S1、获取每一充电间隔的充电参数，并根据所述每一充电间隔的充电参数估算每一充电间隔充满预设充电量所需充电时间，c每一充电间隔进行预设充电量的充电，所述充电参数包括充电电流、荷电状态SOC、电池工作电压和电池温度；其中：第一个充电间隔的充电参数为当前时间的充电电流、荷电状态SOC、电池工作电压和电池温度，第k+1个充电间隔的充电参数根据第k个充电间隔的充电参数预估获得；并且，加热或冷却过程中的电池温度采用第一预设估算方式进行估算，非加热或非冷却过程中的电池温度采用第二预设估算方式进行估算；步骤S2、累加每一充电间隔所需的充电时间得到电池充满电的时间。
The present invention relates to a method and a system for estimating the remaining time of DC charging. The method includes: step S1, acquiring charging parameters of each charging interval, and estimating that each charging interval is fully charged according to the charging parameters of each charging interval The charging time required for the amount of charge, c each charging interval is charged with a preset charging amount, and the charging parameters include charging current, state of charge SOC, battery operating voltage and battery temperature; where: the charging parameter of the first charging interval is: The charging current, state of charge SOC, battery operating voltage and battery temperature at the current time, the charging parameters of the k+1th charging interval are estimated and obtained according to the charging parameters of the kth charging interval; and, the battery during heating or cooling The temperature is estimated by the first preset estimation method, and the battery temperature in the non-heating or non-cooling process is estimated by the second preset estimation method; Step S2, accumulating the charging time required for each charging interval to obtain the time for the battery to be fully charged .
Description
Technical Field
The invention relates to the technical field of vehicle storage battery charging, in particular to a method and a system for estimating residual time of direct current charging.
Background
The cruising ability of present pure electric vehicles is continuously improving, but the problem of difficult and long charging time of charging is always existed. And accurate estimation and uploading of the charging remaining time are also of interest to users, and the attention of the users to the direct current charging time is higher than that of slow charging because the estimation of the direct current charging time influences the time distribution of the users in the vehicle using process.
The existing estimation method of the charging remaining time generally comprises two methods of real-time estimation and estimation calibration:
the real-time estimation method is obtained by dividing the residual required charging capacity by the real-time current during charging, and has the advantages that the charging time can better follow the change of the charging speed, and the scheme is similar to a file transmission residual time display mode on a computer;
the pre-estimation calibration method comprises the steps of obtaining the real charging remaining time under different SOC or voltage through tests, writing test results into software in a calibration mode, and mapping the charging remaining time according to a calibration MAP when charging to different SOC. The method has the advantages that the software is simple, the charging remaining time is estimated accurately at normal temperature, and the charging remaining time cannot jump when the charging window is switched.
In the process of implementing the invention, the inventor finds that the prior art has at least the following technical problems:
1. for the real-time estimation method, when heating or cooling is required, the real-time charging current is different from the normal state, and the estimated charging remaining time is inaccurate. And a jump in the charge remaining time occurs when the charge magnification is switched.
2. For the estimation calibration method, due to different ambient temperatures and different charging remaining times under different initial SOCs, a large number of calibrations of the charging remaining times under different temperatures need to be performed, and meanwhile, the estimation accuracy is poor under the condition that heating or cooling exists.
Disclosure of Invention
The invention aims to provide a method and a system for estimating the residual time of direct current charging, which aim to solve the technical problems of the existing real-time estimation method and estimation calibration method.
An embodiment of the present invention provides a method for estimating a remaining dc charging time, including:
step S1, acquiring a charging parameter of each charging interval, and estimating the charging time required by each charging interval to fill a preset charging amount according to the charging parameter of each charging interval, wherein each charging interval is charged with the preset charging amount during charging, and the charging parameters comprise charging current, state of charge (SOC), battery working voltage and battery temperature;
wherein: the charging parameters of the first charging interval are charging current, state of charge (SOC), battery working voltage and battery temperature at the current time, and the charging parameters of the (k +1) th charging interval are obtained by pre-estimating according to the charging parameters of the kth charging interval; the battery temperature in the heating or cooling process is estimated by adopting a first preset estimation mode, and the battery temperature in the non-heating or non-cooling process is estimated by adopting a second preset estimation mode;
step S2, the charging time required for each charging interval is accumulated to obtain the time for fully charging the battery.
Preferably, the preset charge amount of each charging interval is 1% cap; wherein, cap is the battery capacity.
Preferably, the charging time required for each charging interval to be filled with the preset charging amount is estimated according to the charging parameter of each charging interval, which is shown in the following expression:
wherein, t (k) is the charging time required by the k-th charging interval to fully charge the preset charging amount, cap is the battery capacity, and i (k) is the charging current of the k-th charging interval.
Preferably, the estimating of the charging parameter of the (k +1) th charging interval according to the charging parameter of the (k +1) th charging interval includes:
the state of charge SOC of the k +1 th charging interval is equal to the state of charge SOC of the k charging interval plus 1%.
Preferably, the estimating of the charging parameter of the (k +1) th charging interval according to the charging parameter of the (k +1) th charging interval includes:
during heating or cooling, obtaining the battery temperature of the corresponding (k +1) th charging interval according to the battery temperature of the kth charging interval, the charging time required for the kth charging interval to be fully charged with the preset charging amount and the change relation between the battery temperature and the time calibrated by the real vehicle test; and when the battery is not heated or cooled, obtaining the battery temperature of the corresponding (k +1) th charging interval according to the battery temperature of the kth charging interval, the charging current of the kth charging interval and the charging time required by the kth charging interval for fully charging the preset charging amount.
Preferably, the estimating of the charging parameter of the (k +1) th charging interval according to the charging parameter of the (k +1) th charging interval includes:
and inquiring a preset table according to the SOC of the (k +1) th charging interval and the battery temperature of the (k +1) th charging interval to obtain the battery open-circuit voltage of the corresponding (k +1) th charging interval, and calculating the battery working voltage of the (k +1) th charging interval according to the battery open-circuit voltage of the (k +1) th charging interval and the charging current of the (k +1) th charging interval on the basis of a second-order RC (resistance-capacitance) equivalent circuit model.
Preferably, the estimating of the charging parameter of the (k +1) th charging interval according to the charging parameter of the (k +1) th charging interval includes:
and inquiring a preset table according to the SOC of the (k +1) th charging interval and the battery temperature of the (k +1) th charging interval to obtain a table lookup current, acquiring a charging current reported by the charging pile, and selecting the smaller of the table lookup current and the charging current reported by the charging pile as the charging current of the (k +1) th charging interval.
Preferably, the step S1 further includes: and judging whether the battery is in a heating or cooling process in real time according to the temperature of the battery.
Preferably, the method further comprises: the above steps S1-S2 are performed every preset time period.
Another embodiment of the present invention provides a dc charging remaining time estimation system, for implementing the dc charging remaining time estimation method according to the above embodiment, the system including:
the information acquisition unit is used for acquiring the charging parameters of each charging interval, estimating the charging time required by filling the preset charging amount in each charging interval according to the charging parameters of each charging interval, and charging the preset charging amount in each charging interval during charging, wherein the charging parameters comprise charging current, state of charge (SOC), battery working voltage and battery temperature; wherein: the charging parameters of the first charging interval are charging current, state of charge (SOC), battery working voltage and battery temperature at the current time, and the charging parameters of the (k +1) th charging interval are obtained by pre-estimating according to the charging parameters of the kth charging interval; the battery temperature in the heating or cooling process is estimated by adopting a first preset estimation mode, and the battery temperature in the non-heating or non-cooling process is estimated by adopting a second preset estimation mode;
and the charging time acquisition unit is used for accumulating the charging time required by each charging interval to obtain the time for fully charging the battery.
The above embodiment scheme has the following beneficial effects: the charging time required by the full charging of the preset charging amount in each charging interval is estimated according to the charging parameters of each charging interval, and the charging time required by each charging interval is accumulated to obtain the full charging time of the battery. According to the scheme of the embodiment, the battery temperature in the heating or cooling process is estimated in the first preset estimation mode, and the battery temperature in the non-heating or non-cooling process is estimated in the second preset estimation mode, so that the technical problem that the estimated charging remaining time is inaccurate due to the fact that the real-time charging current is different relative to the normal state when the heating or cooling requirement exists in the prior art is solved. Meanwhile, the calibration of a large amount of charging remaining time at different temperatures can be avoided, and the estimation precision of the charging time of the battery with the heating or cooling requirement is improved. In addition, according to the scheme of the embodiment, the charging process is divided into a plurality of charging intervals according to the charging amount, and parameters such as the charging current, the state of charge (SOC), the working voltage of the battery, the temperature of the battery and the like of each charging interval are estimated.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a dc charging remaining time estimation method according to an embodiment of the invention.
Fig. 2 is a schematic diagram of a second-order RC equivalent circuit.
FIG. 3 is a block diagram of a DC charging remaining time estimation system according to another embodiment of the present invention.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
In addition, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present invention. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In some instances, well known means have not been described in detail so as not to obscure the present invention.
An embodiment of the present invention provides a method for estimating a remaining dc charging time, where fig. 1 is a flowchart of the method according to the embodiment, and referring to fig. 1, the method includes the following steps S1-S2.
Step S1, acquiring a charging parameter of each charging interval, and estimating the charging time required by each charging interval to fill a preset charging amount according to the charging parameter of each charging interval, wherein each charging interval is charged with the preset charging amount during charging, and the charging parameters comprise charging current, state of charge (SOC), battery working voltage and battery temperature;
wherein: the charging parameters of the first charging interval are charging current, state of charge (SOC), battery working voltage and battery temperature at the current time (namely the moment of starting charging), and the charging parameters of the (k +1) th charging interval are obtained by prediction according to the charging parameters of the kth charging interval; the battery temperature in the heating or cooling process is estimated by adopting a first preset estimation mode, and the battery temperature in the non-heating or non-cooling process is estimated by adopting a second preset estimation mode;
specifically, a second-order RC equivalent circuit model as shown in fig. 2 is adopted as the battery model, wherein the battery model parameters (R1, C1, R2, C2, R0) are obtained by fitting in advance through a cell test experiment.
Step S2, the charging time required for each charging interval is accumulated to obtain the time for fully charging the battery.
In this embodiment, the battery temperature in the heating or cooling process is estimated by adopting a first preset estimation mode, and the battery temperature in the non-heating or non-cooling process is estimated by adopting a second preset estimation mode, so that the technical problem that the estimated remaining charging time is inaccurate due to the fact that the real-time charging current is different relative to the normal state when the heating or cooling requirement exists in the prior art can be solved. Meanwhile, the calibration of a large amount of charging remaining time at different temperatures can be avoided, and the estimation precision of the charging time of the battery with the heating or cooling requirement is improved.
In addition, in the embodiment, the charging process is divided into a plurality of charging intervals according to the charging amount, and parameters such as the charging current, the state of charge SOC, the battery working voltage and the battery temperature of each charging interval are estimated.
In one embodiment, the preset charge amount of each charging interval in the step S1 is 1% cap; wherein, cap is the battery capacity.
Of course, the preset charging amount of each charging interval can also be adjusted according to technical requirements, and the preset charging amount of each charging interval can be different.
In an embodiment, in the step S1, the charging time required for each charging interval to be fully charged with the preset charging amount is estimated according to the charging parameter of each charging interval, which is expressed by the following expression:
wherein, t (k) is the charging time required by the k-th charging interval to fully charge the preset charging amount, cap is the battery capacity, and i (k) is the charging current of the k-th charging interval.
In an embodiment, the step S1 specifically includes:
(1) the state of charge SOC for the k +1 th charging interval is equal to the state of charge SOC for the k charging interval plus 1%, i.e. the SOC for each interval of 1% is estimated.
(2) During heating or cooling, obtaining the battery temperature of the corresponding (k +1) th charging interval according to the battery temperature of the kth charging interval, the charging time required for the kth charging interval to be fully charged with the preset charging amount and the change relation between the battery temperature and the time calibrated by the real vehicle test;
specifically, for the change of the battery temperature in the heating or cooling process, the change relationship of the battery temperature along with the initial temperature and the time can be known according to the real vehicle calibration data, and the first preset estimation mode in the step is as follows: the method comprises the following steps of estimating the temperature according to the change relation of the temperature calibrated by actual vehicle test along with the initial temperature and the time, wherein the change relation can be embodied as a change curve in coordinates, firstly obtaining the battery temperature of a kth charging interval and the charging time required by the kth charging interval to be fully charged with a preset charging amount, finding a coordinate point corresponding to the battery temperature of the kth charging interval on the change curve, translating a unit of 'the charging time required by the kth charging interval to be fully charged with the preset charging amount' on the basis of the coordinate point, and finding the battery temperature of a corresponding (k +1) th charging interval, wherein the unit can be expressed as the following expression:
T(k+1)＝fT1(T(k),δt)
wherein T (k +1) is a battery temperature of a k +1 th charging interval, T (k) is a battery temperature of a k-th charging interval, δ T is a charging time required for the k-th charging interval to be fully charged with the preset charging amount, fT1(T (k), δ T represents a function of T (k +1) and T (k), δ T.
When the battery is not heated or cooled, obtaining the battery temperature of the corresponding (k +1) th charging interval according to the battery temperature of the kth charging interval, the charging current of the kth charging interval and the charging time required by the k charging interval for fully charging the preset charging amount;
specifically, according to the real vehicle calibration data, the battery temperature is relatively stable for the battery temperature variation of the non-heating or non-cooling process, which is related to the battery temperature of the k-th charging interval, the charging current of the k-th charging interval, and the charging time required for the k-th charging interval to fully charge the preset charging amount, so the second preset estimation manner in the step is as follows: through calibration in advance, the corresponding relationship between the battery temperature of the kth charging interval, the charging current of the kth charging interval, and the charging time required for the kth charging interval to fully charge the preset charging amount and the battery temperature can be obtained, accordingly, a plurality of battery temperature data can be obtained through calibration in advance, a table is formed, and the battery temperature of the corresponding (k +1) th charging interval can be obtained by querying the table according to the battery temperature of the kth charging interval, the charging current of the kth charging interval, and the charging time required for the kth charging interval to fully charge the preset charging amount, which can be expressed as the following expression:
T(k+1)＝fT2(T(k),I(k),δt)
wherein, T (k +1) is the battery temperature of the k +1 th charging interval, T (k) is the battery temperature of the k-th charging interval, δ T is the charging time required for the k-th charging interval to be fully charged with the preset charging amount, I (k) is the charging current of the k-th charging interval, fT2(T (k), I (k), and δ T) represents the relation function of T (k +1) and T (k), δ T, I (k).
(3) Inquiring a preset table according to the SOC of the (k +1) th charging interval and the battery temperature of the (k +1) th charging interval to obtain the battery open-circuit voltage of the corresponding (k +1) th charging interval, and calculating the battery working voltage of the (k +1) th charging interval according to the battery open-circuit voltage of the (k +1) th charging interval and the charging current of the kth charging interval on the basis of a second-order RC (resistance-capacitance) equivalent circuit model;
specifically, in the step, the calculation of the battery open-circuit voltage of the corresponding k +1 th charging interval obtained by querying the preset table is specifically shown as the following expression:
Uoc(k+1)＝f(SOC(k+1),T(k+1))
wherein Uoc (k +1) is the battery open-circuit voltage of the (k +1) th charging interval, SOC (k +1) is the state of charge SOC of the (k +1) th charging interval, and T (k +1) is the battery temperature of the (k +1) th charging interval.
The second order circuit equivalent model as shown in fig. 2 has the following equations:
wherein, U1Is R1Corresponding voltage, U2Is R2The corresponding voltage.
Discretizing the system of equations yields:
the above equation establishes a recursion relationship of the battery operating voltage U (k +1) of the (k +1) th charging interval, and thus U (k +1) can be solved.
(4) Whether a charging window is switched or not is concerned in real time in the step, namely, a preset table is inquired according to the state of charge (SOC) of the (k +1) th charging interval and the battery temperature of the (k +1) th charging interval to obtain a table lookup current, the charging current reported by the charging pile is obtained, and the charging current of the (k +1) th charging interval, which is the smaller of the table lookup current and the charging current reported by the charging pile, is selected, and can be expressed as the following expression:
I(k+1)＝min(fmap(SOC(k+1),T(k+1)),ICharger_Cap)
wherein I (k +1) is the charging current of the k +1 charging interval, fmap (SOC (k +1), T (k +1)) is the table lookup current, ICharger_CapAnd charging current reported by the charging pile.
In a specific embodiment, the step S1 further includes: and judging whether the battery is in a heating or cooling process in real time according to the temperature of the battery.
Specifically, when the battery temperature is in the non-heating or non-cooling process, the battery temperature is in a stable temperature range, and whether the battery is in the heating or cooling process can be determined by determining whether the current battery temperature is beyond the temperature range.
In a specific embodiment, the method further comprises: the above steps S1-S2 are performed every preset time period.
Specifically, the remaining charging time is updated once every preset time period, for example, every 5 seconds is a period, and the above steps S1 to S2 are required to be performed for each time, so that the remaining charging time can be estimated by adding δ t from the beginning of charging to the end of full charge (i.e., the charging time estimation of all charging intervals is completed); the actual charging current of the battery needs to be monitored in real time when the charging remaining time is reported, and the charging remaining time is reported for smoothing when the window is switched.
The present embodiment realizes accurate estimation of the remaining charge time, and the estimation method of the present embodiment can be used in either high-temperature or low-temperature environments. The method set forth by the embodiment can be compatible with the real-time performance and accuracy of the estimation of the charging remaining time, and the charging table lookup can be conveniently carried out due to the fact that the temperature and the voltage in the charging process are estimated in real time.
In addition, the charging remaining time estimation method can be applied to alternating current charging remaining time estimation in an expanded mode, and only the direct current charging MAP and the charging cut-off condition need to be replaced.
As shown in fig. 2, another embodiment of the present invention provides a dc charging remaining time estimation system for implementing the dc charging remaining time estimation method according to the above embodiment, the system including:
the information acquisition unit 1 is configured to acquire a charging parameter of each charging interval, and estimate, according to the charging parameter of each charging interval, a charging time required for each charging interval to fill a preset charging amount, wherein each charging interval charges the preset charging amount during charging, and the charging parameter includes a charging current, a state of charge SOC, a battery operating voltage, and a battery temperature; wherein: the charging parameters of the first charging interval are charging current, state of charge (SOC), battery working voltage and battery temperature at the current time, and the charging parameters of the (k +1) th charging interval are obtained by pre-estimating according to the charging parameters of the kth charging interval; the battery temperature in the heating or cooling process is estimated by adopting a first preset estimation mode, and the battery temperature in the non-heating or non-cooling process is estimated by adopting a second preset estimation mode;
and the charging time acquisition unit 2 is used for accumulating the charging time required by each charging interval to obtain the time for fully charging the battery.
Wherein the information acquisition unit includes:
an SOC information acquisition unit 11 configured to acquire a state of charge SOC for each charging interval; wherein the state of charge SOC of the (k +1) th charging interval is equal to the state of charge SOC of the kth charging interval plus 1%;
a temperature information acquisition unit 12 for acquiring the battery temperature of each charging interval; during heating or cooling, obtaining the battery temperature of the corresponding (k +1) th charging interval according to the battery temperature of the kth charging interval, the charging time required for the kth charging interval to be fully charged with the preset charging amount and the change relation between the battery temperature and the time calibrated by the real vehicle test; when the battery is not heated or cooled, obtaining the battery temperature of the corresponding (k +1) th charging interval according to the battery temperature of the kth charging interval, the charging current of the kth charging interval and the charging time required by the k charging interval for fully charging the preset charging amount;
a voltage information acquisition unit 13 for acquiring a battery operating voltage for each charging interval; the method comprises the steps of inquiring a preset table according to the state of charge SOC of the (k +1) th charging interval and the battery temperature of the (k +1) th charging interval to obtain the battery open-circuit voltage of the corresponding (k +1) th charging interval, and calculating the battery working voltage of the (k +1) th charging interval according to the battery open-circuit voltage of the (k +1) th charging interval and the charging current of the kth charging interval on the basis of a second-order RC (resistance-capacitance) equivalent circuit model;
the current information obtaining unit 14 is configured to obtain charging currents of the charging intervals, where a preset table is queried according to the state of charge SOC of the (k +1) th charging interval and the battery temperature of the (k +1) th charging interval to obtain a table lookup current, a charging current reported by the charging pile is obtained, and the smaller of the table lookup current and the charging current reported by the charging pile is selected as the charging current of the (k +1) th charging interval.
The above-described system embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on 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 the present embodiment.
It should be noted that the system described in the foregoing embodiment corresponds to the method described in the foregoing embodiment, and therefore, portions of the system described in the foregoing embodiment that are not described in detail can be obtained by referring to the content of the method described in the foregoing embodiment, and details are not described here.
Furthermore, the dc charging remaining time estimation system according to the above embodiment may be stored in a computer readable storage medium if it is implemented in the form of a software functional unit and sold or used as a stand-alone product.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A DC charging remaining time estimation method is characterized by comprising the following steps:
step S1, acquiring a charging parameter of each charging interval, and estimating the charging time required by each charging interval to fill a preset charging amount according to the charging parameter of each charging interval, wherein each charging interval is charged with the preset charging amount during charging, and the charging parameters comprise charging current, state of charge (SOC), battery working voltage and battery temperature;
wherein: the charging parameters of the first charging interval are charging current, state of charge (SOC), battery working voltage and battery temperature at the current time, and the charging parameters of the (k +1) th charging interval are obtained by pre-estimating according to the charging parameters of the kth charging interval; the battery temperature in the heating or cooling process is estimated by adopting a first preset estimation mode, and the battery temperature in the non-heating or non-cooling process is estimated by adopting a second preset estimation mode;
step S2, the charging time required for each charging interval is accumulated to obtain the time for fully charging the battery.
2. The dc charging remaining time estimation method according to claim 1, wherein the predetermined charging amount per one charging interval is 1% cap; wherein, cap is the battery capacity.
3. The dc charging remaining time estimation method according to claim 1, wherein the charging time required for each charging interval to be fully charged with the predetermined charging amount is estimated according to the charging parameter of each charging interval as shown in the following expression:
wherein, t (k) is the charging time required by the k-th charging interval to fully charge the preset charging amount, cap is the battery capacity, and i (k) is the charging current of the k-th charging interval.
4. The method of claim 1, wherein the step of estimating the charging parameter of the (k +1) th charging interval according to the charging parameter estimation of the k-th charging interval comprises:
the state of charge SOC of the k +1 th charging interval is equal to the state of charge SOC of the k charging interval plus 1%.
5. The method of claim 1, wherein the step of estimating the charging parameter of the (k +1) th charging interval according to the charging parameter estimation of the k-th charging interval comprises:
during heating or cooling, obtaining the battery temperature of the corresponding (k +1) th charging interval according to the battery temperature of the kth charging interval, the charging time required for the kth charging interval to be fully charged with the preset charging amount and the change relation between the battery temperature and the time calibrated by the real vehicle test; and when the battery is not heated or cooled, obtaining the battery temperature of the corresponding (k +1) th charging interval according to the battery temperature of the kth charging interval, the charging current of the kth charging interval and the charging time required by the kth charging interval for fully charging the preset charging amount.
6. The method of claim 1, wherein the step of estimating the charging parameter of the (k +1) th charging interval according to the charging parameter estimation of the k-th charging interval comprises:
and inquiring a preset table according to the SOC of the (k +1) th charging interval and the battery temperature of the (k +1) th charging interval to obtain the battery open-circuit voltage of the corresponding (k +1) th charging interval, and calculating the battery working voltage of the (k +1) th charging interval according to the battery open-circuit voltage of the (k +1) th charging interval and the charging current of the (k +1) th charging interval on the basis of a second-order RC (resistance-capacitance) equivalent circuit model.
7. The method of claim 1, wherein the step of estimating the charging parameter of the (k +1) th charging interval according to the charging parameter estimation of the k-th charging interval comprises:
and inquiring a preset table according to the SOC of the (k +1) th charging interval and the battery temperature of the (k +1) th charging interval to obtain a table lookup current, acquiring a charging current reported by the charging pile, and selecting the smaller of the table lookup current and the charging current reported by the charging pile as the charging current of the (k +1) th charging interval.
8. The dc charging remaining time estimation method according to claim 4, wherein the step S1 further includes: and judging whether the battery is in a heating or cooling process in real time according to the temperature of the battery.
9. The dc charging remaining time estimation method according to any one of claims 1 to 8, further comprising: the above steps S1-S2 are performed every preset time period.
10. A dc charging remaining time estimation system for implementing the dc charging remaining time estimation method according to any one of claims 1 to 9, the system comprising:
the information acquisition unit is used for acquiring the charging parameters of each charging interval, estimating the charging time required by filling the preset charging amount in each charging interval according to the charging parameters of each charging interval, and charging the preset charging amount in each charging interval during charging, wherein the charging parameters comprise charging current, state of charge (SOC), battery working voltage and battery temperature; wherein: the charging parameters of the first charging interval are charging current, state of charge (SOC), battery working voltage and battery temperature at the current time, and the charging parameters of the (k +1) th charging interval are obtained by pre-estimating according to the charging parameters of the kth charging interval; the battery temperature in the heating or cooling process is estimated by adopting a first preset estimation mode, and the battery temperature in the non-heating or non-cooling process is estimated by adopting a second preset estimation mode;
and the charging time acquisition unit is used for accumulating the charging time required by each charging interval to obtain the time for fully charging the battery.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010461231.8A CN113740740B (en) | 2020-05-27 | 2020-05-27 | Direct current charging remaining time estimation method and system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010461231.8A CN113740740B (en) | 2020-05-27 | 2020-05-27 | Direct current charging remaining time estimation method and system thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113740740A true CN113740740A (en) | 2021-12-03 |
| CN113740740B CN113740740B (en) | 2024-06-21 |
Family
ID=78723833
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010461231.8A Active CN113740740B (en) | 2020-05-27 | 2020-05-27 | Direct current charging remaining time estimation method and system thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113740740B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114407727A (en) * | 2022-01-24 | 2022-04-29 | 四川野马汽车股份有限公司 | A method and system for estimating remaining time of electric vehicle charging |
| CN114740363A (en) * | 2022-04-15 | 2022-07-12 | 深圳市道通智能汽车有限公司 | Method and device for predicting incremental time point of state of charge (SOC) and storage medium |
| CN115832475A (en) * | 2022-02-08 | 2023-03-21 | 宁德时代新能源科技股份有限公司 | Charging time determination method, BMS, battery and electric energy equipment |
| CN118294818A (en) * | 2024-06-05 | 2024-07-05 | 中国第一汽车股份有限公司 | Model training method, residual charging time estimation method, device and electronic equipment |
| CN118539565A (en) * | 2024-07-18 | 2024-08-23 | 深圳安培时代数字能源科技有限公司 | Battery charging management method and device, electronic equipment and storage medium |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09322420A (en) * | 1996-05-27 | 1997-12-12 | Sony Corp | Charge time calculation method and battery pack |
| JP2011091879A (en) * | 2009-10-20 | 2011-05-06 | Toyota Motor Corp | System for displaying the situation of electric accumulation to vehicle |
| JP2014131483A (en) * | 2014-04-08 | 2014-07-10 | Mitsubishi Motors Corp | Charging time estimation device and charging time estimation method |
| CN104662770A (en) * | 2012-09-21 | 2015-05-27 | 日产自动车株式会社 | Charging control device and charging time calculation method |
| CN105807228A (en) * | 2015-01-16 | 2016-07-27 | 新普科技股份有限公司 | Method for predicting residual charging time of lithium ion battery and charging monitor |
| CN107192960A (en) * | 2017-06-26 | 2017-09-22 | 北京普莱德新能源电池科技有限公司 | The method and device that a kind of remaining charging interval to battery is estimated |
| CN107677962A (en) * | 2016-08-01 | 2018-02-09 | 现代自动车株式会社 | The system and method for battery are managed the time required to based on charging |
| 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 |
| US20180269546A1 (en) * | 2017-03-17 | 2018-09-20 | Kabushiki Kaisha Toshiba | Temperature management device |
| CN110001441A (en) * | 2019-04-15 | 2019-07-12 | 安徽科创新能源科技有限责任公司 | A kind of embedded charging pile and its application method |
| CN110290972A (en) * | 2016-12-06 | 2019-09-27 | 沃尔沃卡车集团 | Estimate the method for the charged state of battery cell |
| CN110909443A (en) * | 2019-10-12 | 2020-03-24 | 北京航空航天大学 | A high-precision battery pack charging remaining time estimation method and system |
| CN110945738A (en) * | 2017-07-31 | 2020-03-31 | 日产自动车株式会社 | Charging time calculation method and charging control device |
| CN111055722A (en) * | 2019-12-20 | 2020-04-24 | 华为技术有限公司 | A method, device and storage medium for estimating charging time |
| CN111142029A (en) * | 2020-02-27 | 2020-05-12 | 重庆长安新能源汽车科技有限公司 | Method for estimating residual charging time of power battery |
-
2020
- 2020-05-27 CN CN202010461231.8A patent/CN113740740B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09322420A (en) * | 1996-05-27 | 1997-12-12 | Sony Corp | Charge time calculation method and battery pack |
| JP2011091879A (en) * | 2009-10-20 | 2011-05-06 | Toyota Motor Corp | System for displaying the situation of electric accumulation to vehicle |
| CN104662770A (en) * | 2012-09-21 | 2015-05-27 | 日产自动车株式会社 | Charging control device and charging time calculation method |
| JP2014131483A (en) * | 2014-04-08 | 2014-07-10 | Mitsubishi Motors Corp | Charging time estimation device and charging time estimation method |
| CN105807228A (en) * | 2015-01-16 | 2016-07-27 | 新普科技股份有限公司 | Method for predicting residual charging time of lithium ion battery and charging monitor |
| CN107677962A (en) * | 2016-08-01 | 2018-02-09 | 现代自动车株式会社 | The system and method for battery are managed the time required to based on charging |
| CN110290972A (en) * | 2016-12-06 | 2019-09-27 | 沃尔沃卡车集团 | Estimate the method for the charged state of battery cell |
| US20180269546A1 (en) * | 2017-03-17 | 2018-09-20 | Kabushiki Kaisha Toshiba | Temperature management device |
| CN107192960A (en) * | 2017-06-26 | 2017-09-22 | 北京普莱德新能源电池科技有限公司 | The method and device that a kind of remaining charging interval to battery is estimated |
| CN110945738A (en) * | 2017-07-31 | 2020-03-31 | 日产自动车株式会社 | Charging time calculation method and charging control device |
| 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 |
| CN110001441A (en) * | 2019-04-15 | 2019-07-12 | 安徽科创新能源科技有限责任公司 | A kind of embedded charging pile and its application method |
| CN110909443A (en) * | 2019-10-12 | 2020-03-24 | 北京航空航天大学 | A high-precision battery pack charging remaining time estimation method and system |
| CN111055722A (en) * | 2019-12-20 | 2020-04-24 | 华为技术有限公司 | A method, device and storage medium for estimating charging time |
| CN111142029A (en) * | 2020-02-27 | 2020-05-12 | 重庆长安新能源汽车科技有限公司 | Method for estimating residual charging time of power battery |
Non-Patent Citations (1)
| Title |
|---|
| 邵海岳, 钟志华, 何莉萍, 钟勇, 陈宗璋: "电动汽车用Ni MH电池建模及基于状态空间的SOC预测方法", 汽车工程, vol. 26, no. 5, 30 October 2004 (2004-10-30), pages 534 - 537 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114407727A (en) * | 2022-01-24 | 2022-04-29 | 四川野马汽车股份有限公司 | A method and system for estimating remaining time of electric vehicle charging |
| CN115832475A (en) * | 2022-02-08 | 2023-03-21 | 宁德时代新能源科技股份有限公司 | Charging time determination method, BMS, battery and electric energy equipment |
| CN114740363A (en) * | 2022-04-15 | 2022-07-12 | 深圳市道通智能汽车有限公司 | Method and device for predicting incremental time point of state of charge (SOC) and storage medium |
| CN118294818A (en) * | 2024-06-05 | 2024-07-05 | 中国第一汽车股份有限公司 | Model training method, residual charging time estimation method, device and electronic equipment |
| CN118539565A (en) * | 2024-07-18 | 2024-08-23 | 深圳安培时代数字能源科技有限公司 | Battery charging management method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113740740B (en) | 2024-06-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113740740A (en) | DC charging remaining time estimation method and system | |
| KR102452548B1 (en) | Apparatus for determination battery degradation, system having the same and method thereof | |
| CN109941111B (en) | Method for estimating remaining driving range and electric automobile | |
| EP3764114A1 (en) | Method, device and system for estimating remaining charging time and a storage medium | |
| US8775105B2 (en) | Onboard adaptive battery core temperature estimation | |
| JP6512230B2 (en) | Battery system and estimation system | |
| US8645088B2 (en) | Systems and methods for determining the state of charge of a battery utilizing confidence values | |
| CN102778651B (en) | Determine the system and method for battery cell capacity value in many battery | |
| CN112946482B (en) | Battery voltage estimation method, device, equipment and storage medium based on model | |
| CN109061497B (en) | Battery residual electric quantity metering system and method | |
| CN111196179A (en) | Estimation method and estimation device for residual charging time of battery and vehicle | |
| CN111679200B (en) | Battery state of charge calibration method and device and vehicle | |
| JP2009145065A (en) | Secondary battery status detection device | |
| CN114572055B (en) | Method, device, computer equipment and storage medium for estimating endurance mileage | |
| CN111123137A (en) | Estimation method of SOC and SOH of battery pack | |
| JP2025085012A (en) | Calculation system, battery characteristic estimation method, and battery characteristic estimation program | |
| CN111123138A (en) | A method for estimating the SOH of a battery pack | |
| CN115436811A (en) | A method and system for estimating SOC after battery aging based on actual vehicle working conditions | |
| CN113093040A (en) | Method, device and system for evaluating health degree of battery of electric vehicle | |
| CN116872791B (en) | Estimation method of SOH of power battery | |
| CN111650523A (en) | SOC calibration method based on multi-point static voltage | |
| JP7698468B2 (en) | Battery Deterioration State Estimation Device | |
| US20240025291A1 (en) | Method for predicting charging information of a battery of an electric vehicle | |
| WO2023082982A1 (en) | Method and apparatus for estimating remaining charging time, and computer storage medium | |
| CN112285585B (en) | Method and device for calculating battery energy state by considering temperature and multiplying power |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20211229 Address after: 511434 No. 36, Longying Road, Shilou Town, Panyu District, Guangzhou City, Guangdong Province Applicant after: GAC AION New Energy Vehicle Co.,Ltd. Address before: 23rd floor, Chengyue building, No. 448-458, Dongfeng Middle Road, Yuexiu District, Guangzhou City, Guangdong Province 510030 Applicant before: GUANGZHOU AUTOMOBILE GROUP Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address | ||
| CP03 | Change of name, title or address |
Address after: No. 36 Longying Road, Shilou Town, Panyu District, Guangzhou City, Guangdong Province Patentee after: GAC AION NEW ENERGY AUTOMOBILE Co.,Ltd. Country or region after: China Address before: No. 36 Longying Road, Shilou Town, Panyu District, Guangzhou City, Guangdong Province Patentee before: GAC AION New Energy Vehicle Co.,Ltd. Country or region before: China |