CN114407728B - Vehicle power battery charging control method, system, automobile and computer readable storage medium - Google Patents
Vehicle power battery charging control method, system, automobile and computer readable storage medium Download PDFInfo
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- CN114407728B CN114407728B CN202210211495.7A CN202210211495A CN114407728B CN 114407728 B CN114407728 B CN 114407728B CN 202210211495 A CN202210211495 A CN 202210211495A CN 114407728 B CN114407728 B CN 114407728B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION 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
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods 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]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION 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
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/545—Temperature
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/547—Voltage
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- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Abstract
The invention relates to a vehicle power battery charging control method, a system, an automobile and a computer readable storage medium, wherein the 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 current charge state of the battery pack, the temperature rise and the residual charge time of the battery are estimated, and the charging intention of a user is identified; then, an optimal charging strategy matching the user's needs is calculated, and the charging process is controlled accordingly. According to the invention, the charging strategy can be timely adjusted 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 intelligently calculate the charging multiplying power according to the situation that the charging time of the user is abundant, so that the battery works in an optimal working interval for charging, the service cycle of the battery is prolonged, and the service life cycle is improved.
Description
Technical Field
The invention relates to the field of charging control strategies of power batteries of electric automobiles, in particular to a charging control strategy regulated based on user-set charging time requirements.
Background
Along with the rapid development of new energy automobiles to intelligent phone directions, the power battery is used as a main energy storage element in the electric automobile, and the power battery has long charging time and long cycle life and is always used as a pain point for users. With the development of the battery cell technology, the capacity of the battery cell is increased, the development of the high-power direct-current charging pile is carried out, and the pain point of long charging time is greatly improved compared with the prior art. But the user emergency charge demand and battery cycle life problems are not completely solved.
Disclosure of Invention
The invention aims to provide a vehicle power battery charging control method, a system, an automobile and a computer readable storage medium, which are used for intelligently matching an optimal charging strategy based on the setting of a user on a charging time requirement, so as to improve the requirement of the user on emergency charging, on one hand, the charging multiplying power and the thermal management capability of a battery are improved, and on the other hand, under the condition that the capacity of a battery pile is met and the charging multiplying power and the thermal management capability are fixed, the user sets the charging time, 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 charge control method comprises the steps of firstly obtaining user charge time demand information; identifying the charging intention of the user through estimating the battery temperature rise model and the charging residual time of the matched charging strategy according to the temperature of the current battery pack, the current voltage of the battery pack and the current battery pack charge state; then, an optimal charging strategy matching the user's needs is calculated, and the charging process is controlled accordingly.
Further, the method comprises the following steps:
(1) Acquiring charging time demand information set by a user;
(2) Identifying whether the charging intention of the user is a fast charging requirement, no special requirement or no fast charging requirement;
(3) Charging strategy matching:
and (3.1) when the rapid charging requirement is identified, calculating an optimal charging strategy according to the current battery pack state and the charging capacity of the current battery pack and combining a battery temperature rise model to perform direct current charging.
(3.2) when no special requirement is identified, carrying out direct current charging according to the original established charging strategy, namely, established whole-package direct current charging map 1;
(3.3) when the rapid charging requirement is identified, according to the charging time T set by a user and the battery charging strategy, reducing the charging multiplying power on the basis of the original charging map1 to charge;
the predetermined whole-package direct current charging map1 and the battery capacity charging map2 are two charging maps initially included in the BMS slave point control strategy.
Further, the condition that the step (3.1) identifies the fast charge requirement is that the set charge time Tmin is less than or equal to the remaining charge time-X calculated by the BMS according to the current battery pack state, and X is a calibrated amount, for example, 10min.
When the rapid charging requirement is identified, when the current battery temperature is less than or equal to a first temperature threshold value, the power battery charging strategy charges the map2 according to the battery core capacity to carry out direct current charging, and the direct current charging is stopped when the charging time reaches a set time; the first temperature threshold is a calibrated value, for example 10 ℃;
when the current first temperature threshold value is less than the battery temperature and is less than or equal to the second temperature threshold value, setting N Zhang Chongdian maps between the maps 1 and 2 according to the temperature rise model, taking 5-10 by N, calculating the average charging rate of the period of time, and selecting one charging map with the largest average charging rate for direct current charging; the second temperature threshold is a calibrated value, for example 40 ℃;
and the current second temperature threshold value is less than the battery temperature, and direct current charging is carried out according to a given charging strategy map1.
Further, the condition that the step (3.2) is identified as no special requirement is that the remaining charging time calculated by the BMS according to the current battery pack state-X is less than or equal to the set charging time Tmin less than or equal to the BMS, and the remaining charging time calculated by the BMS according to the current battery pack state +Y is a calibrated value, for example, 10min.
The condition that the step (3.3) is identified as no fast charge requirement is that the remaining charge time +y calculated by the BMS according to the current battery pack state is less than or equal to 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 capacity of the current battery pack are combined with the battery temperature rise model to reasonably calculate a version of optimal charging strategy for direct current charging. The traditional direct current charging map is limited by the limitation of different use scenes of a user, and the charging capacity of the current battery is limited by the whole charging map in different intervals, and the direct current charging map mainly comprises the whole package group capacity, the voltage dimension and the temperature dimension.
According to the scheme, when a user has an emergency charging requirement, the fastest charging capability of the current battery pack is re-matched by combining the charging capability of a battery core level and a temperature rise model on the basis of the original charging map, and on one hand, when the user has an emergency travel requirement and is required to charge more charging electric quantity in a shorter time, a group of optimal charging strategies are intelligently matched to meet the travel requirement of the user; on the other hand, when the user has no emergency charging requirement and is provided with enough time for charging, the battery is intelligently matched with a group of mild charging strategies, so that the service life of the battery is prolonged.
The beneficial effects of the invention are as follows:
1. when the user has short-time quick charge requirement, the charging time can be set by the user, and the calculation is performed to increase the charging rate so as to meet the emergency travel requirement of the user.
2. When the charging time of the user is more abundant, the quick charging rate can be reduced by calculating the setting of the charging time, and the cycle life of the power battery can be prolonged.
3. To pure electric vehicle charging time, the user can interact with the automobile through charging time setting, and intelligent experience of the user is improved.
Drawings
Fig. 1 power cell charge map2.
Fig. 2 power cell pack charge map1.
Detailed Description
Exemplary implementations of the present invention will be described in more detail below with reference to the accompanying drawings.
The method is based on the setting of the charging time requirement by the user, carries out intelligent matching with the optimal charging strategy, and comprises two parts in total; firstly, setting charging time by a user; and secondly, identifying the optimal charging strategy corresponding to matching after the user sets the charging time requirement.
1. Charging time setting:
the intelligent interaction user charging time setting window is added at the vehicle end application end, and through the intelligent interaction user charging time setting window, a user can set the requirement Tmin of the current charging time.
For example, a charging time setting window is added on the meter or the APP, and a user sets the charging time requirement before charging through the window.
2. Charging policy matching
1. And acquiring charging time demand information set by a user. If the user does not set the charging time requirement, the charging is performed by default to the original direct current charging map.
2. When the charging time requirement Tmin of the user is obtained through the setting of the charging window, the charging intention of the user is identified by combining the charging time with the current state of the battery pack. Specifically, the charging remaining time is estimated according to the 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 comparison.
As shown in fig. 1 and 2, in a conventional electric vehicle, two charging maps are initially included in a BMS software control strategy, one is a predetermined full-pack dc charging map1, and the other is a battery capacity charging map2.map1 differs from map2 in that: map1 considers the whole package of battery cell integration and thermal management integration, and map2 represents the capacity of the battery cell at each temperature.
In one particular embodiment, three charging intents may be identified according to the following conditions:
2.1 And when the set charging time Tmin is less than or equal to the BMS and is less than or equal to-10 min, the battery pack is identified as a quick charging requirement of a user in a short time.
2.2. When the remaining charging time calculated by the BMS according to the current battery pack state is less than or equal to-10 min and the charging time Tmin which is less than or equal to +10min, the BMS recognizes that the user has no special requirement on the charging time, and performs direct current charging according to the original established charging strategy.
2.3. When the remaining charging time +10min which is calculated by the BMS according to the current battery pack state is less than or equal to the set charging time Tmin
Identifying that the user has no quick charging requirement on the charging time; and according to the charging time T set by the user and the battery charging strategy, reducing the charging multiplying power on the basis of the original charging map to charge.
3. For different charging intents, the optimal charging strategy is matched:
3.1 When the fast charging requirement is identified, according to the current battery pack state and the charging capacity of the current battery pack, the optimal charging strategy is calculated by combining the battery temperature rise model to carry out direct current charging.
The steps are specifically divided into the following cases:
when the temperature of the current battery is less than or equal to 10 ℃, the power battery charging strategy carries out direct current charging according to map2, and the charging time reaches the time set by a user to stop the direct current charging;
when the current battery temperature is less than 10 ℃ and less than or equal to 40 ℃, 10 charging maps (set by a battery cell test and bench test data) are set between the maps 1 and 2 according to a temperature rise model, and the average charging multiplying power of the break time is calculated; selecting a charging map with the largest average charging multiplying power for direct current charging;
the current 40 ℃ less than battery temperature is charged by direct current according to a given charging strategy.
Under the above circumstances, when the user is identified to have a quick charge requirement in a short time, a version of optimal charging strategy is reasonably calculated by combining the current battery pack state and the charging capacity of the current battery pack with the battery temperature rise model to perform direct current charging. The traditional direct current charging map is limited by the limitation of different use scenes of a user, and the charging capacity of the current battery is limited by the whole charging map in different intervals, and the direct current charging map mainly comprises the whole package group capacity, the voltage dimension and the temperature dimension. When the user has urgent charging requirements, the invention is combined with the charging capability of the battery core level and the temperature rise model to be matched with the fastest charging capability of the current battery pack again on the basis of the original charging map, so that the requirements of the user can be better met.
3.2 And when no special requirement is identified, the direct current charging is carried out according to the original set whole-package direct current charging map1.
3.3 When the quick charging requirement is identified, the charging rate is reduced to charge on the basis of the original set direct current charging map1 according to the charging time T set by a user and the battery charging strategy.
The above temperature value, time value, and the like are only examples, and each manufacturer may be appropriately set according to the actual performance of the vehicle, the usage scenario, and the like.
In another embodiment, a vehicle power battery charge control system includes an information acquisition module, a demand identification module, and a charge strategy matching module. Wherein, the liquid crystal display device comprises a liquid crystal display device,
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 user's charging intention is a fast charging demand, no special demand, or no fast charging demand, wherein:
the condition identified as the rapid charge demand is that the set charge time Tmin is less than or equal to the remaining charge time-X calculated by the BMS according to the current battery pack state, and X is a standard amount.
The condition that no special requirement is identified is that the remaining charging time calculated by the BMS according to the current battery pack state is less than or equal to the charging time Tmin which is less than or equal to the charging time calculated by the BMS according to the current battery pack state is less than or equal to the remaining charging time +Y, and Y is a calibration value.
The condition identified as no fast charge requirement is that the remaining charge time +y calculated by the BMS according to the current battery pack state is less than or equal to the set charge time Tmin.
The charging policy matching module is configured to:
when the fast charging requirement is identified, the optimal charging strategy is calculated according to the temperature of the current battery pack, the current voltage of the battery pack and the current charge state of the battery pack by combining the battery temperature rise model to perform direct current charging.
Specifically, the quick charging matched by the charging policy matching module can be divided into the following three cases:
when the rapid charging requirement is identified, when the current battery temperature is less than or equal to minus 20 ℃ and less than or equal to a first temperature threshold value, the power battery charging strategy carries out direct current charging according to map1 and map2, and the charging time reaches the set time to stop the direct current charging.
When the current first temperature threshold value is smaller than the battery temperature and is smaller than or equal to the second temperature threshold value, setting N Zhang Chongdian maps between the maps 1 and 2 according to the temperature rise model, wherein N is 5-10, calculating the average charging rate of the period, and selecting one charging map with the largest average charging rate for direct current charging.
And the current second temperature threshold value is less than the battery temperature, and the direct current charging is carried out according to the established full-package direct current charging map1.
In addition, the charging strategy matching module performs direct current charging according to a given whole-package direct current charging map1 for the charging strategy identified as no special requirement.
For the charging strategy when no rapid charging requirement is identified, the charging rate is reduced to charge on the basis of the established full-package direct-current charging map1 according to the charging time T set by a user and the battery charging strategy.
In another embodiment, a vehicle is provided with the vehicle power battery charge control system of the above embodiment.
In yet another embodiment, a computer readable storage medium is provided having a computer program stored thereon that is capable of being loaded and executed by a processor to perform the vehicle power battery charge control method described in the above embodiments.
The embodiment of the invention can estimate and adjust the charging strategy of the power battery according to the input of the requirement of the user on the charging time, the ambient temperature in the running state of the whole vehicle, the monitoring state of the power battery and the temperature rise and the residual charging time of the battery by the power battery state. 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 an 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 intelligently calculate the charging multiplying power according to the situation that the charging time of the user is abundant, so that the battery works in an optimal working interval for charging, the service cycle of the battery is prolonged, and the service life cycle is improved.
Claims (9)
1. A vehicle power battery charging control method is characterized in that firstly, user charging time demand information is obtained; then according to the temperature of the current battery pack, the current voltage of the battery pack and the current charge state of the battery pack, combining the estimation of the temperature rise and the charge remaining time of the battery by the battery temperature rise model, and identifying the charging intention of the user; calculating an optimal charging strategy matched with the requirement of a user, and controlling a charging process according to the optimal charging strategy; the BMS charging control strategy initially comprises two charging maps, one is a set whole-package direct current charging map1, the other is a battery core capacity charging map2, the map1 considers the battery core integration and the thermal management integration of the whole package, and the map2 represents the capacity of the battery core at each temperature;
the method specifically comprises the following steps:
(1) Acquiring charging time demand information set by a user;
(2) Identifying whether the charging intention of the user is a fast charging requirement, no special requirement or no fast charging requirement;
(3) Charging strategy matching:
(3.1) when the rapid charging requirement is identified, calculating an optimal charging strategy according to the temperature of the current battery pack, the current voltage of the battery pack and the current charge state of the battery pack and combining a battery temperature rise model to perform direct current charging; the optimal charging strategy is:
when the current battery temperature is less than or equal to minus 20 ℃ and less than or equal to a first temperature threshold value, the power battery charging strategy carries out direct current charging according to the map1 and map2, and the charging time reaches the set time to stop the direct current charging;
when the current first temperature threshold value is less than the battery temperature and is less than or equal to the second temperature threshold value, setting N Zhang Chongdian maps between the maps 1 and 2 according to the temperature rise model, wherein N is 5-10, calculating the average charging rate of the charging time of the user, and selecting one charging map with the largest average charging rate for direct current charging;
the current second temperature threshold value is less than the battery temperature, and direct current charging is carried out according to a set whole-package direct current charging map 1;
(3.2) when no special requirement is identified, carrying out direct current charging according to a set whole package direct current charging map 1;
and (3.3) when the rapid charging requirement is identified, according to the charging time T set by a user and the battery charging strategy, reducing the charging multiplying power on the basis of the established full-package direct current charging map1 for charging.
2. The method according to claim 1, wherein the condition for identifying the step (3.1) as the quick charge demand is that X is a standard amount when the set charge time Tmin is equal to or less than the remaining charge time-X calculated by the BMS according to the current battery pack state.
3. The method according to claim 1, wherein the condition that the step (3.2) is identified as no special requirement is that the remaining charging time calculated by the BMS according to the current battery pack state-X is less than or equal to the set charging time Tmin is less than or equal to the remaining charging time calculated by the BMS according to the current battery pack state +y, Y is a calibrated value.
4. The vehicle power battery charge control method according to claim 1, wherein the condition that the step (3.3) recognizes that there is no rapid charge demand is that the remaining charge time +y calculated by the BMS according to the current battery pack state is equal to or less than the set charge time Tmin.
5. The method for controlling the charging of a vehicle power battery according to claim 1, wherein the method has a user charging time setting window at the vehicle end application end, through which the user sets the current charging time requirement Tmin.
6. A vehicle power battery charge control system, comprising:
the information acquisition module is configured to acquire charging time demand information set by a user;
the demand identification module is configured to identify whether the charging intention of the 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 according to the temperature of the current battery pack, the current voltage of the battery pack and the current charge state of the battery pack by combining a battery temperature rise model to perform direct current charging; the optimal charging strategy is that when the current battery temperature is less than or equal to minus 20 ℃ and less than or equal to a first temperature threshold value, the power battery charging strategy carries out direct current charging according to map1 and map2, and the charging time reaches the set time to stop the direct current charging;
when the current first temperature threshold value is less than the battery temperature and is less than or equal to the second temperature threshold value, setting N Zhang Chongdian maps between the maps 1 and 2 according to the temperature rise model, wherein N is 5-10, calculating the average charging rate of the charging time of the user, and selecting one charging map with the largest average charging rate for direct current charging;
the current second temperature threshold value is less than the battery temperature, and direct current charging is carried out according to a set whole-package direct current charging map 1;
when no special requirement is identified, direct-current charging is carried out according to a set whole-package direct-current charging map 1;
when the rapid charging requirement is identified, according to the charging time T set by a user and the battery charging strategy, the charging rate is reduced on the basis of the established whole package direct current charging map1 to charge;
two charging maps are initially contained in a BMS charging control strategy, one is a given whole-package direct current charging map1, the other is a battery core capacity charging map2, the map1 considers the battery core integration and thermal management integration of the whole package, and the map2 represents the capacity of the battery core at each temperature.
7. The vehicle power battery charge control system according to claim 6, wherein the condition for the demand recognition module to recognize the quick charge demand is that X is a standard amount when the set charging time Tmin is equal to or less than the remaining charging time-X calculated by the BMS according to the current battery pack state.
8. A vehicle comprising a vehicle power battery charge control system according to any one of claims 6-7.
9. A computer-readable storage medium, characterized in that it has stored thereon a computer program that can be loaded and executed by a processor to perform the vehicle power battery charge control method according to any one of claims 1 to 5.
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