CN114407728A - Vehicle power battery charging control method and system, automobile and computer readable storage medium - Google Patents

Vehicle power battery charging control method and system, automobile and computer readable storage medium Download PDF

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Publication number
CN114407728A
CN114407728A CN202210211495.7A CN202210211495A CN114407728A CN 114407728 A CN114407728 A CN 114407728A CN 202210211495 A CN202210211495 A CN 202210211495A CN 114407728 A CN114407728 A CN 114407728A
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charging
current
battery
time
user
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CN114407728B (en
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左文灵
牟丽莎
龚攀
邓承浩
周安健
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Deep Blue Automotive Technology Co ltd
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Chongqing Changan New Energy Automobile Technology Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/54Drive Train control parameters related to batteries
    • B60L2240/545Temperature
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/54Drive Train control parameters related to batteries
    • B60L2240/547Voltage
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention relates to a vehicle power battery charging control method, a system, an automobile and a computer readable storage medium, firstly acquiring the charging time demand information of a user; then according to the temperature of the current battery pack, the current voltage of the battery pack and the charge state of the current battery pack, estimating the temperature rise and the residual charging time of the battery, and identifying the charging intention of the user; and then calculating the optimal charging strategy which is matched with the requirement of the user, and controlling the charging process according to the optimal charging strategy. The invention can timely adjust the charging strategy according to the requirement on the charging time of the user, so that the charging strategy is used in the optimal charging strategy interval required by the user. The optimal charging control strategy can meet the short-time quick charging requirement of a user, and can also intelligently calculate the charging multiplying power according to the charging time allowance of the user, so that the battery works in the optimal working interval to be charged, the service cycle of the battery is prolonged, and the service life cycle is improved.

Description

Vehicle power battery charging control method and system, automobile and computer readable storage medium
Technical Field
The invention relates to the field of charging control strategies for power batteries of electric vehicles, in particular to a charging control strategy adjusted based on charging time requirements set by a user.
Background
With the rapid development of new energy automobiles towards the smart phone direction, the power battery is used as a main energy storage element in the electric automobile, the charging time of the power battery is long, the cycle life of the power battery is prolonged, and the power battery is always used as a pain point for users. Along with the development of the electric core technology, the capacity of the electric core monomer is increased, the high-power direct current charging pile is developed, and the pain point with long charging time is greatly improved compared with the prior art. But the user emergency charging requirements and battery cycle life problems are not fully addressed.
Disclosure of Invention
The invention aims to provide a vehicle power battery charging control method, a vehicle power battery charging control system, an automobile and a computer readable storage medium, wherein an optimal charging strategy is intelligently matched based on the setting of a user on the charging time requirement, so that the requirement of the user on emergency charging is improved, on one hand, the charging multiplying power and the thermal management capability of a battery are improved, on the other hand, the charging time is set by the user under the condition that the battery pile capacity is met and the charging multiplying power and the thermal management capability are fixed, and the optimal charging strategy is intelligently matched by combining the current temperature, the voltage and the charging state of a battery pack.
The technical scheme of the invention is as follows:
a vehicle power battery charging control method comprises the steps of firstly obtaining charging time demand information of a user; then according to the temperature of the current battery pack, the current voltage of the battery pack and the charge state of the current battery pack, the charging intention of the user is identified through estimation of a battery temperature rise model and estimation of the charging remaining time of a matched charging strategy; and then calculating the optimal charging strategy which is matched with the requirement of the user, and controlling the charging process according to the optimal charging strategy.
Further, the method comprises the steps of:
(1) acquiring charging time requirement information set by a user;
(2) identifying whether the charging intent of the user is a fast charge demand, no special demand, or no fast charge demand;
(3) matching charging strategies:
and (3.1) when the quick charging requirement is identified, calculating an optimal charging strategy for direct current charging according to the current battery pack state and the current charging capacity of the battery pack and by combining a battery temperature rise model.
(3.2) when no special requirement is identified, carrying out direct-current charging according to an original established charging strategy, namely, an established whole-pack direct-current charging map 1;
(3.3) when no quick charging requirement is identified, reducing the charging rate for charging on the basis of the original charging map1 according to the charging time T set by the user and a battery charging strategy;
the predetermined entire pack dc charging map1 and the cell capability charging map2 are two charging maps initially included in the BMS slave point control policy.
Further, the condition that the step (3.1) recognizes the need for quick charge is that X is a standard amount, for example, 10min, when the set charge time Tmin ≦ BMS calculates the remaining charge time-X according to the current pack state.
When the quick charging requirement is identified and the current battery temperature is less than or equal to a first temperature threshold value, the power battery charging strategy carries out direct current charging according to the battery core capacity charging map2, and the direct current charging is stopped when the charging time reaches the set time; the first temperature threshold is a calibrated value, such as 10 ℃;
when the current first temperature threshold is larger than the battery temperature and smaller than or equal to the second temperature threshold, setting N charging maps between map1 and map2 according to the temperature rise model, taking N as 5-10, calculating the average charging multiplying power of the period of time, and selecting one charging map with the largest average charging multiplying power for direct current charging; the second temperature threshold is a calibrated value, such as 40 ℃;
and C, when the current second temperature threshold is less than the battery temperature, carrying out direct current charging according to a set charging strategy map 1.
Further, the condition that the step (3.2) identifies no special need is that the remaining charge time-X calculated by the BMS according to the current battery pack status is less than the set charge time Tmin ≦ the remaining charge time + Y calculated by the BMS according to the current battery pack status, Y being a calibrated value, e.g., 10 min.
The condition that the step (3.3) recognizes that there is no need for quick charge is that the remaining charge time + Y calculated by the BMS according to the current pack state is not more than the set charge time Tmin.
According to the technical scheme, when the user is identified to have a quick charging requirement in a short time, the current battery pack state and the charging capability of the current battery pack are combined with the battery temperature rise model to reasonably calculate the optimal charging strategy for direct current charging. The conventional direct current charging map is limited by the limitation of being adapted to different use scenes of a user, the charging capacity of the current battery is limited by the whole charging map in different intervals, and the whole charging map is mainly embodied in the whole grouping capacity, the voltage dimension and the temperature dimension.
According to the scheme, when a user has an emergency charging demand, the fastest charging capacity of the current battery pack is matched again by combining the charging capacity and the temperature rise model of the battery cell level on the basis of the original charging map, so that on one hand, when the user has an emergency trip demand and requires to charge more charging electric quantity in a short time, a group of optimal charging strategies are intelligently matched to meet the trip demand of the user; on the other hand, when the user has no emergency charging demand and is provided with sufficient time for charging, a group of mild charging strategies are intelligently matched to facilitate the service life of the battery.
Therefore, the beneficial effects of the invention are as follows:
1. when the user has the demand of short-term fast charging, the setting of charging time is carried out, and the demand of urgent trip of the user is satisfied by calculating and increasing the fast charging multiplying power.
2. When the charging time of a user is sufficient, the quick charging rate can be reduced by calculating through setting the charging time, and the cycle life of the power battery is prolonged.
3. Aiming at the charging time of the pure electric vehicle, the user can interact with the vehicle through the charging time setting, and the intelligent experience of the user is increased.
Drawings
Fig. 1 power battery cell charging map 2.
The power battery pack charging map1 of fig. 2.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings.
The method is based on the charging strategy that the user sets the charging time requirement to carry out intelligent matching and the optimal charging strategy comprises two parts of the whole body; firstly, setting charging time by a user; and secondly, identifying the optimal charging strategy matched with the user after the user sets the charging time requirement.
Firstly, setting charging time:
the intelligent interactive user charging time setting window is added at the vehicle end application end, and through the setting window, a user can set the requirement Tmin of the charging time at this time.
For example, a charging time setting window is added to an instrument or an APP, and a user sets the charging time requirement through the window before charging.
Second, charging strategy matching
1. And acquiring the charging time requirement information set by the user. If the user does not set the charging time requirement, the original direct current charging map is defaulted to charge.
2. When the charging time requirement Tmin set by the user through the charging window is acquired, the charging intention of the user is identified according to the charging time and the current state of the battery pack. Specifically, the charging remaining time is estimated according to an original SOC strategy by combining the current SOC state and the battery pack state, and then the charging intention of the user is judged by comparing the charging remaining time with the battery pack state.
As shown in fig. 1 and 2, the conventional electric vehicle initially includes two charging maps in the BMS software control strategy, one is a predetermined full pack dc charging map1, and the other is a cell capability charging map 2. map1 differs from map2 in that: the map1 considers the cell integration and the thermal management integration of the whole package, and the map2 represents the capacity of the cell at each temperature.
In one particular embodiment, three charging intents may be identified based on the following conditions:
2.1 when the set charging time Tmin is less than or equal to the residual charging time-10 min calculated by the BMS according to the current battery pack state, identifying the user as a quick charging demand in a short time.
2.2. When the BMS calculates the residual charging time-10 min according to the current battery pack state and is less than or equal to the set charging time Tmin and is less than or equal to the residual charging time +10min calculated by the BMS according to the current battery pack state, recognizing that the user has no special requirement on the charging time, and performing direct-current charging according to the original set charging strategy.
2.3. When the BMS calculates the remaining charge time +10min according to the current pack state and is less than or equal to the set charge time Tmin
Identifying that the user has no fast charge demand for charge time; and reducing the charging multiplying power for charging on the basis of the original charging map by combining the charging time T set by the user with a battery charging strategy.
3. For different charging intentions, an optimal charging strategy is matched:
3.1 when the quick charging requirement is identified, calculating an optimal charging strategy for direct current charging according to the current battery pack state and the current charging capacity of the battery pack by combining a battery temperature rise model.
The steps are specifically divided into the following conditions:
when the current battery temperature is less than or equal to 10 ℃, the power battery charging strategy carries out direct current charging according to map2, and the direct current charging is stopped when the charging time reaches the time set by a user;
when the current battery temperature is higher than 10 ℃ and lower than or equal to 40 ℃, setting 10 charging maps (set through cell test and bench test data) between map1 and map2 according to a temperature rise model, and calculating the average charging multiplying power of the off-time; selecting a charging map with the maximum average charging multiplying power for direct current charging;
and D, performing direct current charging according to a set charging strategy at the current battery temperature of less than 40 ℃.
Under the conditions, when the user is identified to have a quick charging requirement in a short time, the current battery pack state and the charging capacity of the current battery pack are combined with the battery temperature rise model to reasonably calculate the optimal charging strategy for one version to carry out direct current charging. The conventional direct current charging map is limited by the limitation of being adapted to different use scenes of a user, the charging capacity of the current battery is limited by the whole charging map in different intervals, and the whole charging map is mainly embodied in the whole grouping capacity, the voltage dimension and the temperature dimension. When the user has an emergency charging requirement, the invention matches the fastest charging capability of the current battery pack again by combining the charging capability and the temperature rise model of the battery cell level on the basis of the original charging map, thereby better meeting the user requirement.
3.2 when no special requirement is identified, carrying out direct current charging according to the original fixed whole package direct current charging map 1.
3.3 when no quick charging requirement is identified, according to the charging time T set by the user and the battery charging strategy, reducing the charging multiplying power for charging on the basis of the original established whole package direct current charging map 1.
The above temperature values, time values, and the like are only examples, and each manufacturer can set the temperature values, time values, and the like appropriately according to the actual performance of the vehicle, the usage scenario, and the like.
In another embodiment, a vehicle power battery charging control system includes an information acquisition module, a demand identification module, and a charging strategy matching module. Wherein,
the information acquisition module is configured to acquire charging time requirement information set by a user.
A demand identification module configured to identify whether a charging intention of a user is a quick charging demand, no special demand, or no quick charging demand, wherein:
the condition identified as a fast charge demand is that X is a scalar quantity when the set charge time Tmin is less than or equal to the remaining charge time-X calculated by the BMS based on the current battery pack state.
The condition identified as no special requirement is that the remaining charge time-X calculated by the BMS based on the current battery pack status is less than or equal to the set charge time Tmin, which is less than or equal to the remaining charge time + Y calculated by the BMS based on the current battery pack status, with Y being a nominal value.
The condition identified as no fast charge demand is that the BMS calculates a remaining charge time + Y ≦ the set charge time Tmin according to the current pack state.
The charging policy matching module configured to:
and when the demand of quick charging is identified, calculating an optimal charging strategy for direct current charging by combining a battery temperature rise model according to the current temperature of the battery pack, the current voltage of the battery pack and the current charge state of the battery pack.
Specifically, the fast charging matched by the charging policy matching module can be divided into the following three cases:
when the quick charging requirement is identified, when the current battery temperature is greater than or equal to-20 ℃ and less than or equal to a first temperature threshold value, the power battery charging strategy performs direct current charging according to map1 and map2, and the direct current charging is stopped when the charging time reaches the set time.
When the current first temperature threshold is larger than the battery temperature and smaller than or equal to the second temperature threshold, setting N charging maps between map1 and map2 according to the temperature rise model, wherein N is 5-10, calculating the average charging multiplying power of the period of time, and selecting the charging map with the largest average charging multiplying power for direct current charging.
And D, when the current second temperature threshold is less than the battery temperature, carrying out direct-current charging according to the set whole package direct-current charging map 1.
In addition, the charging strategy matching module carries out direct current charging according to a set whole package direct current charging map1 for the charging strategy when no special requirement is identified.
For the charging strategy when no quick charging requirement is identified, the charging strategy is combined with the battery charging strategy according to the charging time T set by the user, and the charging is carried out by reducing the charging multiplying power on the basis of the established whole package direct current charging map 1.
In another embodiment, a vehicle is provided having the vehicle power battery charging control system described in the above embodiment.
In yet another embodiment, a computer-readable storage medium is provided, having stored thereon a computer program that is loadable and executable by a processor to perform the vehicle power battery charge control method described in the above embodiments.
The embodiment shows that the power battery charging strategy can be estimated and adjusted according to the requirement input of a user on the charging time, the environment temperature under the running state of the whole vehicle, the monitoring state of the power battery, the temperature rise of the battery under the state of the power battery and the residual charging time. The control strategy can timely adjust the charging strategy according to the requirement on the charging time of the user, so that the charging strategy is used in the optimal charging strategy interval required by the user; the optimal charging control strategy can meet the short-time quick charging requirement of a user, and can also intelligently calculate the charging multiplying power according to the charging time allowance of the user, so that the battery works in the optimal working interval to be charged, the service cycle of the battery is prolonged, and the service life cycle is improved.

Claims (12)

1. A vehicle power battery charging control method is characterized in that the method comprises the steps of firstly obtaining charging time demand information of a user; identifying the charging intention of the user according to the temperature of the current battery pack, the current voltage of the battery pack and the charge state of the current battery pack and by combining the estimation of the temperature rise of the battery and the charging remaining time of the battery temperature rise model; and calculating the optimal charging strategy matching with the user requirement, and controlling the charging process according to the optimal charging strategy.
2. The vehicle power battery charge control method according to claim 1, characterized by comprising:
(1) acquiring charging time requirement information set by a user;
(2) identifying whether the charging intent of the user is a fast charge demand, no special demand, or no fast charge demand;
(3) matching charging strategies:
(3.1) when the rapid charging requirement is identified, calculating an optimal charging strategy for direct-current charging by combining a battery temperature rise model according to the current temperature of the battery pack, the current voltage of the battery pack and the current charge state of the battery pack;
(3.2) when no special requirement is identified, carrying out direct current charging according to a set whole package direct current charging map 1;
(3.3) when no quick charging requirement is identified, reducing the charging rate for charging on the basis of a set whole package direct current charging map1 according to the charging time T set by a user and a battery charging strategy;
two charging maps are initially included in the BMS charging control strategy, one is a given full pack dc charging map1, and one is a cell capability charging map 2.
3. The vehicle power battery charge control method according to claim 2, characterized in that when step (3.1) identifies a condition of a rapid charge demand, the set charge time Tmin ≦ BMS is a scalar amount for the remaining charge time-X calculated by the BMS based on the current battery pack status.
4. The vehicle power battery charging control method according to claim 3, characterized in that when a rapid charging demand is identified, the current battery temperature is greater than or equal to-20 ℃ and less than or equal to a first temperature threshold, the power battery charging strategy is selected according to map1 and map2 to perform direct current charging, and the direct current charging is stopped when the charging time reaches a set time;
when the current first temperature threshold is larger than the battery temperature and smaller than or equal to the second temperature threshold, setting N charging maps between map1 and map2 according to the temperature rise model, wherein N is 5-10, calculating the average charging multiplying power of the period of time, and selecting the charging map with the largest average charging multiplying power for direct current charging;
and D, when the current second temperature threshold is less than the battery temperature, carrying out direct-current charging according to the set whole package direct-current charging map 1.
5. The vehicle power battery charge control method according to claim 2, wherein the condition that step (3.2) identifies no special demand is that the remaining charge time-X calculated by the BMS based on the current battery pack status is set to the charge time Tmin ≦ the remaining charge time + Y calculated by the BMS based on the current battery pack status, Y being a nominal value.
6. The vehicle power battery charge control method according to claim 2, characterized in that the condition that step (3.3) identifies no need for quick charge is that the BMS calculates the remaining charge time + Y ≦ the set charge time Tmin depending on the current pack status.
7. The vehicle power battery charging control method according to claim 2, characterized in that the method has a user charging time setting window at a vehicle end application end, through which a user sets a demand Tmin for the current charging time.
8. A vehicle power battery charge control system, comprising:
the information acquisition module is configured to acquire charging time requirement information set by a user;
a demand identification module configured to identify whether a charging intention of a user is a quick charging demand, no special demand, or no quick charging demand;
a charging policy matching module configured to:
when the rapid charging requirement is identified, calculating an optimal charging strategy for direct current charging by combining a battery temperature rise model according to the temperature of the current battery pack, the current voltage of the battery pack and the charge state of the current battery pack;
when no special requirement is identified, carrying out direct current charging according to a set whole packet direct current charging map 1;
when no quick charging requirement is identified, according to the charging time T set by a user and a battery charging strategy, reducing the charging multiplying power for charging on the basis of a set whole package direct current charging map 1;
two charging maps are initially included in the BMS charging control strategy, one is a given full pack dc charging map1, and one is a cell capability charging map 2.
9. The vehicle power battery charge control system of claim 8, wherein the condition that the demand recognition module recognizes the demand for quick charge is that X is a standard amount when the set charge time Tmin ≦ BMS calculated as a remaining charge time-X from the current battery pack status.
10. The vehicle power battery charge control system of claim 8, wherein when a rapid charge demand is identified, the charge strategy matching module is configured to perform dc charging according to map1 and map2 when the current battery temperature is greater than or equal to-20 ℃ and less than or equal to a first temperature threshold, and stop the dc charging when the charging time reaches a set time;
when the current first temperature threshold is larger than the battery temperature and smaller than or equal to the second temperature threshold, setting N charging maps between map1 and map2 according to the temperature rise model, wherein N is 5-10, calculating the average charging multiplying power of the period of time, and selecting the charging map with the largest average charging multiplying power for direct current charging;
and D, when the current second temperature threshold is less than the battery temperature, carrying out direct-current charging according to the set whole package direct-current charging map 1.
11. A vehicle characterized by comprising the vehicle power battery charging control system according to any one of claims 8 to 10.
12. A computer-readable storage medium, having stored thereon a computer program which is loadable and executable by a processor to execute a vehicle power battery charge control method according to any one of claims 1 to 7.
CN202210211495.7A 2022-02-28 2022-02-28 Vehicle power battery charging control method, system, automobile and computer readable storage medium Active CN114407728B (en)

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