CN-121973671-A - Charging control method and device and vehicle

CN121973671ACN 121973671 ACN121973671 ACN 121973671ACN-121973671-A

Abstract

The embodiment of the invention relates to the technical field of vehicles and discloses a charging control method, a charging control device and a vehicle, wherein the charging control method is applied to the vehicle and comprises the steps of determining a predicted SOC sequence based on a current sequence to be solved; the method comprises the steps of determining a predicted temperature sequence based on a current sequence to be solved, a power sequence to be solved, a predicted SOC sequence and the environment temperature of a battery, constructing an objective function based on the current sequence to be solved, the predicted SOC sequence and the predicted temperature sequence, respectively taking the current sequence to be solved and the power sequence to be solved which are obtained after the objective function is minimized as the objective current sequence and the objective power sequence, charging the battery based on the objective current sequence, and controlling a thermal management system to adjust the temperature of the battery based on the objective power sequence. In this way, the vehicle charging time can be reduced.

Inventors

WU ZIJIA
DENG TINGFENG
WU GANG
CHEN PO
Xiong Baorui

Assignees

深蓝汽车科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260331

Claims (12)

1. A charge control method, characterized by comprising: The method comprises the steps of determining a predicted SOC sequence based on a current sequence to be solved, wherein the current sequence to be solved comprises a plurality of current values to be solved and is used for representing the change condition of battery charging current at a plurality of moments in the future; Determining a predicted temperature sequence based on the current sequence to be solved, the power sequence to be solved, the predicted SOC sequence and the environment temperature of the battery, wherein the power sequence to be solved comprises a plurality of required power values to be solved and is used for representing the change condition of the operating power of a thermal management system at a plurality of moments in the future when the temperature of the battery is regulated; Constructing an objective function based on the current sequence to be solved, the predicted SOC sequence and the predicted temperature sequence, wherein the objective function comprises a first loss term, a second loss term and a third loss term, the first loss term is a loss term related to the estimated charging time of the battery, the second loss term is a loss term related to the temperature rise of the battery, and the third loss term is a loss term related to the capacity attenuation of the battery in the charging process; The current sequence to be solved and the power sequence to be solved, which are obtained after the objective function is minimized, are respectively used as a target current sequence and a target power sequence; Charging the battery based on the target current sequence, and controlling the thermal management system to adjust the temperature of the battery based on the target power sequence.
2. The charge control method of claim 1, wherein the determining a predicted temperature sequence based on the current sequence to be solved, the power sequence to be solved, the predicted SOC sequence, and an ambient temperature at which the battery is located comprises: for the required power value to be solved at the kth moment in the current sequence to be solved, determining the predicted actual execution power to be solved based on a power prediction model to obtain a plurality of predicted actual execution powers to be solved, wherein the power prediction model is used for predicting the power which can be actually executed by the thermal management system; Determining a target actual power sequence based on a plurality of predicted actual execution powers to be solved and a delay correction model, wherein the target actual power sequence comprises a plurality of target actual execution powers to be solved, and the delay correction model is used for predicting the power which can be actually executed by a thermal management system under the influence of thermal management response delay; And determining the predicted temperature sequence based on the current sequence to be solved, the target actual power sequence, the predicted SOC sequence and the environment temperature of the battery.
3. The charge control method according to claim 2, wherein the power prediction model satisfies the following formula: ; Wherein, the For representing the predicted actual execution power to be solved by the thermal management system at the kth moment, N for representing the prediction horizon, i for representing the time step index variable, For indicating the impact weight of the predicted actual execution power at the kth moment on said kth moment, For representing the predicted actual execution power at said k-i time instant, A response speed for indicating the predicted actual execution power of the required power value at the kth time to the kth time, For indicating the required power value at the kth time, said Positively correlated with the time step index variable.
4. The charge control method according to claim 2, characterized in that the delay correction model satisfies the following formula: ; Wherein, the For representing the actual execution power of the target to be solved by the thermal management system at the kth moment, For representing the response coefficient of the thermal management system, For representing the predicted actual execution power to be solved by the thermal management system at the kth moment, For representing the actual execution power of the target to be solved by the thermal management system at time k-1.
5. The charge control method according to claim 1, wherein the current sequence to be solved and the power sequence to be solved, which are obtained after minimizing the objective function, are respectively a target current sequence and a target power sequence, comprising: The method comprises the steps of constructing preset constraint conditions, wherein the preset constraint conditions comprise at least one of a power constraint condition, a current constraint condition, a temperature constraint condition and/or an SOC constraint condition, the power constraint condition is used for constraining the running power of the thermal management system when the temperature of the battery is regulated to be within a preset power range, the current constraint condition is used for constraining the charging current of the battery to be within a preset current range when the battery is charged, the temperature constraint condition is used for constraining the temperature of the battery to be within a preset temperature range when the battery is charged, and the SOC constraint condition is used for constraining the SOC of the battery to be within a preset SOC range when the battery is charged; And minimizing the objective function under the preset constraint condition, and taking the current sequence and the power sequence obtained by solving as a target current sequence and a target power sequence respectively.
6. The charge control method of claim 5, wherein the preset constraint comprises a power constraint, and wherein the preset power range is determined by: Inputting the required power value to be solved at the kth moment and the historical actual power sequence into a power prediction model to obtain predicted actual execution power at the kth moment; the historical actual power sequence is used for representing the change condition of the actual output power of the battery when the thermal management system adjusts the temperature of the battery at a plurality of moments in the past; the power prediction model is used for predicting the power which can be actually executed by the thermal management system; Determining the smaller value of the predicted actual execution power at the kth moment and a preset power upper limit threshold value as a target power upper limit value in the preset power range; And determining the larger value of the predicted actual execution power at the kth moment and a preset lower power limit threshold as a target lower power limit value in the preset power range, wherein the preset upper power limit threshold is larger than the preset lower power limit threshold, and the preset power range is that the running power is smaller than or equal to the target upper power limit value and the running power is larger than or equal to the target lower power limit value.
7. The charge control method according to claim 1, characterized in that the objective function satisfies the following formula: ; Wherein, the A weight coefficient for representing the first loss term, For representing the first loss term in question, For representing the prediction time domain, For representing the equivalent time cost at the kth instant, A weight coefficient for representing the second loss term, For representing the second loss term, For indicating the temperature of the battery at the kth time, For the purpose of indicating the initial battery temperature, A weight coefficient for representing the third loss term, For representing said third penalty term.
8. The charge control method according to claim 6, characterized in that a weight coefficient of the first loss term is larger than weight coefficients of the second loss term and the third loss term when the vehicle is in a quick charge mode; the weight coefficient of the second loss term is larger than the weight coefficients of the first loss term and the third loss term when the vehicle is in a temperature control mode; and when the vehicle is in a long-life mode, the weight coefficient of the third loss term is larger than the weight coefficients of the first loss term and the second loss term.
9. The charge control method according to claim 1, wherein in the predicted temperature sequence, the temperature of the battery at the k+1 time satisfies the following battery temperature rise model: ; Wherein, the For indicating the temperature of the battery at time k +1, For the purpose of indicating the coefficient of thermal inertia, For indicating the temperature of the battery at the kth time, For the purpose of indicating the temperature rise gain factor, For representing the battery charging current at said kth moment, For representing the battery resistance at said kth moment, For the purpose of indicating the coefficient of thermal conversion efficiency, For representing the value of the required power to be solved of the thermal management system at the kth moment, For representing the environmental bias constant.
10. The charge control method according to claim 1, characterized in that the battery charging method further comprises: Judging whether the thermal management system meets a starting condition or not under the condition that the thermal management system needs to be switched from a standby state to an operating state, and starting the thermal management system if the thermal management system meets the starting condition, wherein the starting condition comprises that the standby time of the thermal management system is greater than or equal to a preset standby time, the required power of the thermal management system is greater than or equal to a preset power starting threshold value, the duration of a starting instruction of the thermal management system is greater than or equal to a preset starting duration, and/or the starting instruction of the thermal management system is greater than or equal to a preset starting duration; Judging whether the thermal management system meets a standby condition or not under the condition that the thermal management system needs to be switched from an operating state to a standby state, and closing the thermal management system if the thermal management system meets the standby condition, wherein the standby condition comprises that the operating time of the thermal management system is greater than or equal to a preset operating time, the required power of the thermal management system is greater than or equal to a preset power standby threshold, and the duration of an opening instruction of the thermal management system is greater than or equal to a preset standby duration.
11. The charging control device is characterized by further comprising a sequence determining module, a function constructing module, a charging control module and a temperature control module; The sequence determining module is used for determining a predicted SOC sequence based on a current sequence to be solved, wherein the current sequence to be solved comprises a plurality of current values to be solved and is used for representing the change condition of battery charging current at a plurality of moments in the future; The sequence determining module is used for determining a predicted temperature sequence based on the current sequence to be solved, the power sequence to be solved, the predicted SOC sequence and the environment temperature of the battery, wherein the power sequence to be solved comprises a plurality of required power values to be solved, the required power values are used for representing the change condition of the operating power of a thermal management system at a plurality of moments in the future when the temperature of the battery is regulated, and the predicted temperature sequence is used for representing the change condition of the temperature of the battery at a plurality of moments in the future; The function construction module is used for constructing an objective function based on the current sequence to be solved, the predicted SOC sequence and the predicted temperature sequence, wherein the objective function comprises a first loss term, a second loss term and a third loss term, the first loss term is a loss term related to the estimated charging time of the battery, the second loss term is a loss term related to the temperature rise of the battery, and the third loss term is a loss term related to the capacity attenuation of the battery in the charging process; the charging control module is used for respectively taking the current sequence to be solved and the power sequence to be solved, which are obtained after the objective function is minimized, as a target current sequence and a target power sequence; The temperature control module is used for charging the battery based on the target current sequence, and controlling the thermal management system to adjust the temperature of the battery based on the target power sequence.
12. A vehicle comprising a thermal management system, a battery, and the charge control device of claim 11.

Description

Charging control method and device and vehicle Technical Field The invention relates to the technical field of vehicles, in particular to a charging control method and device and a vehicle. Background In the travel process, the time of charging the vehicle is long, and the travel arrangement of the user can be influenced. Therefore, how to shorten the charging time and increase the charging speed of the vehicle is a technical problem that needs to be solved currently. Disclosure of Invention In view of the above-mentioned shortcomings, the present application aims to provide a charging control method and device and a vehicle, which aim to solve the technical problem of longer charging time of the vehicle. According to the method, a predicted SOC sequence is determined based on a current sequence to be solved, the current sequence to be solved comprises a plurality of current values to be solved and is used for representing the change condition of battery charging current at a plurality of moments in the future, the predicted SOC sequence is used for representing the change condition of battery SOC at the plurality of moments in the future, a predicted temperature sequence is determined based on the current sequence to be solved, the power sequence to be solved, the predicted SOC sequence and the environment temperature of a battery, the power sequence to be solved comprises a plurality of required power values to be solved and is used for representing the change condition of running power when a thermal management system adjusts the temperature of the battery at the plurality of moments in the future, the predicted temperature sequence is used for representing the change condition of the temperature of the battery at the plurality of moments in the future, an objective function is constructed based on the current sequence to be solved, the predicted SOC sequence and the predicted temperature sequence, the objective function comprises a first loss item, a second loss item and a third loss item, the first loss item is a loss item related to the estimated charging time of the battery, the second loss item is a loss item related to the temperature rise of the battery, the third loss item is a loss item related to the battery temperature rise, the thermal loss item is related to the battery temperature regulation of the battery temperature, the thermal management system is used for achieving the objective function based on the power sequence to be solved and the thermal management sequence to be used for achieving the objective function based on the current sequence to be solved, and the objective function is used for achieving the objective function. The predicted SOC sequence is determined based on the current sequence to be solved, and the battery charge states at a plurality of moments in the future can be deduced according to the preset current change trend, so that the electric quantity accumulation condition of the battery in the continuous charging process is determined. And then, determining a predicted temperature sequence based on the current sequence to be solved, the power sequence to be solved, the predicted SOC sequence and the ambient temperature, and predicting a change track of the temperature of the battery at a future moment according to the temperature change condition of the battery in the charging process, the heat exchange condition caused by the power adjustment of the thermal management system, the electric quantity accumulation condition of the battery in the continuous charging process and the current ambient temperature of the battery, thereby generating temperature change data more conforming to the actual thermal behavior of the battery. Then, an objective function is constructed based on the current sequence to be solved, the predicted SOC sequence, and the predicted temperature sequence, the objective function including a first loss term related to the estimated charge time, a second loss term related to the battery temperature rise, and a third loss term related to the capacity fade. By carrying out minimized solving on the objective function, the obtained current sequence to be solved and the obtained power sequence to be solved can be balanced among charging efficiency, temperature safety and life maintenance, the temperature of the battery is ensured to be in a proper range, meanwhile, more efficient charging is realized, charging time is reduced, capacity loss of the battery in a long-term circulation process is reduced, and adaptability and stability of the battery under complex working conditions are improved. In a possible embodiment, the predicted temperature sequence is determined based on a current sequence to be solved, a power sequence to be solved, a predicted SOC sequence and an environment temperature of a battery, and the predicted temperature sequence comprises a power prediction model, a target actual power sequence is determined based on the predicted actual e