Battery thermal management methods, devices, storage media and electronic devices

Abstract

This disclosure relates to a battery thermal management method, apparatus, storage medium, and electronic device. The method includes: acquiring historical operating data of the power battery of each vehicle over a historical time period; determining at least one specified operating condition based on the historical operating data; and adjusting a preset temperature threshold corresponding to the specified operating condition for each vehicle based on the historical average temperature of the vehicle under the specified operating condition, thereby obtaining an operating temperature threshold for the vehicle under each preset operating condition. This allows for temperature management of the target power battery based on its operating temperature and the target operating temperature threshold. By utilizing historical operating data and adjusting the preset temperature threshold to obtain the operating temperature threshold for the vehicle under each preset operating condition, this disclosure can consistently control the operating temperature of the power battery within a suitable range, thereby optimizing the operating temperature of the power battery and slowing down its degradation rate.

Description

Technical Field

[0001] This disclosure relates to the field of vehicle technology, and more specifically, to a method, apparatus, storage medium, and electronic device for thermal management of a battery. Background Technology

[0002] In the field of electric vehicles and new energy vehicles, the power battery is a core component of the vehicle, and its normal operation directly affects the overall performance of the vehicle. The lifespan degradation of the power battery is closely related to its operating temperature. If the power battery operates in a high-temperature environment for a long time, its performance degradation will be accelerated.

[0003] In related technologies, a cooling strategy with a fixed temperature threshold is mainly employed through a battery thermal management system to ensure that the operating temperature of the power battery does not exceed this threshold, thereby optimizing the operating temperature of the power battery and slowing down its degradation rate. However, this approach cannot be adaptively adjusted to the actual operating conditions of the power battery, resulting in a lack of flexibility, which may affect the operating temperature and degradation rate of the power battery. Summary of the Invention

[0004] To address the problems existing in related technologies, this disclosure provides a thermal management method, apparatus, storage medium, and electronic device for batteries.

[0005] To achieve the above objectives, according to a first aspect of the present disclosure, a thermal management method for a battery is provided, the method comprising:

[0006] Obtain historical operating data of the power battery of each of the vehicles in a preset number of vehicles within a historical time period; the historical operating data includes battery status data and the historical average temperature of the power battery of the vehicle under each preset operating condition;

[0007] Based on the historical operating data, at least one specified operating condition is determined from multiple preset operating conditions;

[0008] For each vehicle, based on the historical average temperature of the vehicle under the specified operating conditions, a preset temperature threshold corresponding to the vehicle under the specified operating conditions is adjusted to obtain the operating temperature threshold of the vehicle under each preset operating condition, so as to perform temperature management on the target power battery according to the operating temperature of the target power battery of the vehicle and the target operating temperature threshold corresponding to the target operating condition of the target power battery.

[0009] Optionally, the battery status data includes the battery's storage time, discharge amount, and capacity decay, and the multiple preset operating conditions include driving conditions, charging conditions, and storage conditions; determining at least one specified operating condition from the multiple preset operating conditions based on the historical operating data includes:

[0010] Based on the historical operating data, at least one of the specified operating conditions is determined through a preset correlation model;

[0011] The correlation model can be expressed as: C = a1Q + a2t + a3T1 + a4T2 + a5T3;

[0012] Wherein, C is the capacity decay, Q is the discharge amount, a1 is the weighting coefficient corresponding to Q, t is the shelving time, a2 is the weighting coefficient corresponding to t, T1 is the historical average temperature corresponding to the driving condition, a3 is the weighting coefficient corresponding to T1, T2 is the historical average temperature corresponding to the charging condition, a4 is the weighting coefficient corresponding to T2, T3 is the historical average temperature corresponding to the shelving condition, and a5 is the weighting coefficient corresponding to T3.

[0013] Optionally, determining at least one of the specified operating conditions based on the historical operating data using a preset correlation model includes:

[0014] The historical operating data of each vehicle is sequentially input into the correlation model for linear fitting to obtain the weight coefficients.

[0015] The preset working condition in which the weight coefficient is greater than a specified threshold is taken as the specified working condition.

[0016] Optionally, adjusting the vehicle's operating temperature threshold under the specified operating condition based on the vehicle's historical average temperature under the specified operating condition to obtain the vehicle's operating temperature threshold under each specified operating condition includes:

[0017] Based on the historical average temperature of the vehicle under each specified operating condition, determine the abnormal temperature value corresponding to each specified operating condition;

[0018] Based on the abnormal temperature value corresponding to each specified operating condition, the preset temperature threshold corresponding to the vehicle under the specified operating condition is adjusted to obtain the operating temperature threshold of the vehicle under each preset operating condition.

[0019] Optionally, adjusting the vehicle's preset temperature threshold under each specified operating condition based on the abnormal temperature value corresponding to each specified operating condition to obtain the vehicle's operating temperature threshold under each preset operating condition includes:

[0020] For each specified operating condition, if the historical average temperature of the vehicle under the specified operating condition is greater than the abnormal temperature value under the specified operating condition, the preset temperature threshold corresponding to the specified operating condition is reduced according to the preset temperature adjustment step size to obtain the operating temperature threshold of the vehicle under the specified operating condition.

[0021] For each of the multiple preset operating conditions other than the specified operating condition, the preset temperature threshold corresponding to the preset operating condition is used as the operating temperature threshold of the vehicle under that preset operating condition.

[0022] Optionally, the operating temperature threshold includes an operating condition activation threshold and an operating condition deactivation threshold, and the method further includes:

[0023] For each vehicle, if the operating temperature of the target power battery is greater than the target operating condition activation threshold corresponding to the target operating condition in which the target power battery is located, the target power battery is cooled, and the cooling of the target power battery is stopped when the operating temperature of the target power battery is less than or equal to the target operating condition exit threshold corresponding to the target operating condition.

[0024] According to a second aspect of the present disclosure, a thermal management device for a battery is provided, the device comprising:

[0025] The acquisition module is used to acquire the historical operating data of the power battery of each of the preset number of vehicles within a historical time period; the historical operating data includes battery status data and the historical average temperature of the power battery of the vehicle under each preset operating condition.

[0026] The determination module is used to determine at least one specified working condition from multiple preset working conditions based on the historical operating data.

[0027] The adjustment module is used to adjust the preset temperature threshold corresponding to the vehicle under the specified operating condition for each vehicle based on the historical average temperature of the vehicle under the specified operating condition, so as to obtain the operating temperature threshold of the vehicle under each preset operating condition, so as to perform temperature management of the target power battery according to the operating temperature of the target power battery of the vehicle and the target operating temperature threshold corresponding to the target operating condition of the target power battery.

[0028] Optionally, the battery status data includes the battery's storage time, the battery's discharge amount, and the battery's capacity decay amount; the multiple preset operating conditions include driving conditions, charging conditions, and storage conditions; the determining module is used for:

[0029] Based on the historical operating data, at least one of the specified operating conditions is determined through a preset correlation model;

[0030] The correlation model can be expressed as: C = a1Q + a2t + a3T1 + a4T2 + a5T3;

[0031] Wherein, C is the capacity decay, Q is the discharge amount, a1 is the weighting coefficient corresponding to Q, t is the shelving time, a2 is the weighting coefficient corresponding to t, T1 is the historical average temperature corresponding to the driving condition, a3 is the weighting coefficient corresponding to T1, T2 is the historical average temperature corresponding to the charging condition, a4 is the weighting coefficient corresponding to T2, T3 is the historical average temperature corresponding to the shelving condition, and a5 is the weighting coefficient corresponding to T3.

[0032] Optionally, the determining module is used to:

[0033] The historical operating data of each vehicle is sequentially input into the correlation model for linear fitting to obtain the weight coefficients.

[0034] The preset working condition in which the weight coefficient is greater than a specified threshold is taken as the specified working condition.

[0035] Optionally, the adjustment module includes:

[0036] The determination submodule is used to determine the abnormal temperature value corresponding to each specified operating condition based on the historical average temperature of the vehicle under each specified operating condition.

[0037] The adjustment submodule is used to adjust the preset temperature threshold corresponding to the vehicle under each specified operating condition based on the abnormal temperature value corresponding to each specified operating condition, so as to obtain the operating temperature threshold of the vehicle under each specified operating condition.

[0038] Optionally, the adjustment submodule is used for:

[0039] For each specified operating condition, if the historical average temperature of the vehicle under the specified operating condition is greater than the abnormal temperature value under the specified operating condition, the preset temperature threshold corresponding to the specified operating condition is reduced according to the preset temperature adjustment step size to obtain the operating temperature threshold of the vehicle under the specified operating condition.

[0040] For each of the multiple preset operating conditions other than the specified operating condition, the preset temperature threshold corresponding to the preset operating condition is used as the operating temperature threshold of the vehicle under that preset operating condition.

[0041] Optionally, the operating temperature threshold includes an operating condition activation threshold and an operating condition deactivation threshold, and the device further includes:

[0042] The temperature management module is used to cool the target power battery for each vehicle if the operating temperature of the target power battery is greater than the target operating condition activation threshold corresponding to the target operating condition in which the target power battery is located, and to stop cooling the target power battery when the operating temperature of the target power battery is less than or equal to the target operating condition exit threshold corresponding to the target operating condition.

[0043] Through the above technical solution, this disclosure first obtains the historical operating data of the power battery of each of a preset number of vehicles within a historical time period. This historical operating data includes battery state data and the historical average temperature of the power battery under each preset operating condition. Then, based on the historical operating data, at least one specified operating condition is determined from multiple preset operating conditions. For each vehicle, a preset temperature threshold corresponding to that specified operating condition is adjusted based on the historical average temperature of that vehicle under that specified operating condition, thus obtaining the operating temperature threshold for that vehicle under each preset operating condition. This allows for temperature management of the target power battery based on its operating temperature and the target operating temperature threshold corresponding to the target operating condition. This disclosure considers the actual operating conditions of the power battery. By utilizing historical operating data to adjust the preset temperature threshold, the operating temperature threshold for each preset operating condition is obtained, enabling flexible adjustment of the temperature threshold in the cooling strategy. This ensures that the operating temperature of the power battery is always controlled within a suitable range, thereby optimizing the operating temperature of the power battery and slowing down its degradation rate.

[0044] Other features and advantages of this disclosure will be described in detail in the following detailed description section. Attached Figure Description

[0045] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the following detailed description to explain the present disclosure, but do not constitute a limitation thereof. In the drawings:

[0046] Figure 1 This is a flowchart illustrating a thermal management method for a battery according to an exemplary embodiment;

[0047] Figure 2 It is based on Figure 1 The illustrated embodiment shows a flowchart of step 103;

[0048] Figure 3 This is a flowchart illustrating another thermal management method for a battery according to an exemplary embodiment;

[0049] Figure 4 This is a block diagram illustrating a thermal management device for a battery according to an exemplary embodiment;

[0050] Figure 5 It is based on Figure 4 The illustrated embodiment shows a block diagram of an adjustment module;

[0051] Figure 6 This is a block diagram illustrating another thermal management device for a battery according to an exemplary embodiment;

[0052] Figure 7 This is a block diagram illustrating an electronic device according to an exemplary embodiment;

[0053] Figure 8 This is a block diagram illustrating another electronic device according to an exemplary embodiment. Detailed Implementation

[0054] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0055] Before introducing the battery thermal management method, apparatus, storage medium, and electronic device provided in this disclosure, the application scenarios involved in the various embodiments of this disclosure are first described. This application scenario may include a vehicle equipped with a power battery and a battery thermal management system. The battery thermal management system can manage the temperature of the power battery based on a cooling strategy. Specifically, the cooling strategy of the battery thermal management system may be: setting a corresponding preset temperature threshold for each preset operating condition of the vehicle (the preset temperature threshold may include a preset activation threshold and a preset deactivation threshold). If, under a certain preset operating condition, the operating temperature of the power battery is greater than the preset activation threshold corresponding to that preset operating condition, the battery thermal management system can cool the power battery until the operating temperature of the power battery is less than or equal to the preset deactivation threshold corresponding to that preset operating condition, at which point cooling of the power battery stops. The vehicle may be a car, which is not limited to electric vehicles or new energy vehicles, but may also be applicable to other types of motor vehicles or non-motor vehicles.

[0056] Figure 1 This is a flowchart illustrating a thermal management method for a battery according to an exemplary embodiment. Figure 1 As shown, the method may include the following steps:

[0057] Step 101: Obtain the historical operating data of the power battery of each of the preset number of vehicles within the historical time period.

[0058] The historical operating data includes battery status data and the historical average temperature of the power battery under each preset operating condition.

[0059] For example, to improve the flexibility of thermal management of power batteries, the preset temperature threshold in the cooling strategy of the battery thermal management system can be adaptively adjusted according to the actual operating conditions of the power battery, so as to better optimize the operating temperature of the power battery and further slow down the degradation rate of the power battery. Specifically, a preset number of vehicles that meet specified conditions can be selected as adjustment targets, and historical operating data of the power battery of each vehicle can be collected over a historical period. For example, if the specified conditions are vehicles that have been delivered for a full year as adjustment targets, and the historical period is the past year, each vehicle can be instructed to upload its power battery status data and the historical average temperature of the power battery under each preset operating condition to the cloud at regular intervals. Then, the cloud uses the battery status data of each vehicle over the past year and the historical average temperature of the power battery of each vehicle under each preset operating condition as historical operating data.

[0060] The battery status data may include, for example, the battery's storage time, discharge amount, and capacity decay. The preset operating conditions may include driving conditions, charging conditions, and storage conditions.

[0061] Step 102: Based on historical operating data, determine at least one specified operating condition from multiple preset operating conditions.

[0062] In this step, based on historical operating data, the weight and correlation between the operating temperature of the power battery and the capacity degradation of the power battery under different preset operating conditions can be identified. Then, using this weight and correlation, the preset operating condition with the higher weight and correlation can be selected as the designated operating condition from multiple preset operating conditions; that is, the preset operating condition that has a more significant impact on the capacity degradation of the power battery can be selected as the designated operating condition.

[0063] Step 103: For each vehicle, adjust the preset temperature threshold corresponding to the vehicle under the specified operating conditions based on the historical average temperature of the vehicle under the specified operating conditions to obtain the operating temperature threshold of the vehicle under each preset operating condition, so as to perform temperature management on the target power battery according to the operating temperature of the target power battery of the vehicle and the target operating temperature threshold corresponding to the target operating condition of the target power battery.

[0064] For example, after determining the specified operating conditions, the historical average temperature of each vehicle under each specified operating condition can be analyzed to identify the abnormal temperature value for each specified operating condition. Then, for each vehicle, if the historical average temperature of that vehicle under a certain specified operating condition is greater than the abnormal temperature value for that specified operating condition, the preset temperature threshold for that vehicle under that specified operating condition is reduced (e.g., reduced by 2°C), resulting in the operating condition temperature threshold for that vehicle under that specified operating condition. Simultaneously, the preset temperature threshold for each preset operating condition other than the specified operating condition is used as the operating condition temperature threshold for that preset operating condition. After determining the operating condition temperature threshold for each vehicle, the vehicle's battery thermal management system can manage the temperature of the target power battery in real time based on the current operating temperature of the target power battery and the target operating condition temperature threshold corresponding to the current target power battery's target operating condition, using a cooling strategy.

[0065] It should be noted that steps 101-103 can be repeatedly executed according to a preset cycle (e.g., one year as a preset cycle) to continuously update the target operating temperature threshold, thereby further optimizing the operating temperature of the power battery and slowing down the degradation rate of the power battery. Furthermore, the process of determining the operating temperature threshold for each vehicle can be implemented by a server or by the terminal equipment on the vehicle; this disclosure does not specifically limit this.

[0066] In summary, this disclosure first obtains historical operating data of the power battery of each of a preset number of vehicles within a historical time period. This historical operating data includes battery state data and the historical average temperature of the power battery under each preset operating condition. Then, based on the historical operating data, at least one specified operating condition is determined from multiple preset operating conditions. For each vehicle, a preset temperature threshold corresponding to that specified operating condition is adjusted based on the historical average temperature of that vehicle under that specified operating condition, resulting in the operating temperature threshold for that vehicle under each preset operating condition. This allows for temperature management of the target power battery based on its operating temperature and the target operating temperature threshold corresponding to the target operating condition. This disclosure considers the actual operating conditions of the power battery. By utilizing historical operating data to adjust the preset temperature threshold, the operating temperature threshold for each preset operating condition is obtained, enabling flexible adjustment of the temperature threshold in the cooling strategy. This ensures that the operating temperature of the power battery is always controlled within a suitable range, thereby optimizing the operating temperature of the power battery and slowing down its degradation rate.

[0067] Optionally, the battery status data includes the battery's storage time, discharge amount, and capacity degradation. Multiple preset operating conditions include driving conditions, charging conditions, and storage conditions. Step 102 can be implemented in the following ways:

[0068] Based on historical operating data, at least one specified operating condition is determined through a preset correlation model.

[0069] The correlation model can be expressed as: C = a1Q + a2t + a3T1 + a4T2 + a5T3.

[0070] Where C is the capacity decay, Q is the discharge amount, a1 is the weighting coefficient corresponding to Q, t is the shelving time, a2 is the weighting coefficient corresponding to t, T1 is the historical average temperature corresponding to driving conditions, a3 is the weighting coefficient corresponding to T1, T2 is the historical average temperature corresponding to charging conditions, a4 is the weighting coefficient corresponding to T2, T3 is the historical average temperature corresponding to shelving conditions, and a5 is the weighting coefficient corresponding to T3.

[0071] For example, a correlation model can be established based on historical operating data. This correlation model can be understood as a lifespan degradation model for power batteries. Specifically, the following parameters can be statistically analyzed over a historical period (e.g., the past year): battery storage time, battery discharge rate, battery capacity degradation, historical average temperature corresponding to driving conditions, historical average temperature corresponding to charging conditions, and historical average temperature corresponding to storage conditions. These parameters can be used as variables for correlation analysis, and a multiple linear model can be established between battery capacity degradation and other correlation analysis variables as the correlation model. Here, the historical average temperature corresponding to driving conditions = Σ(average temperature during a single driving cycle * discharge amp-hours during a single driving cycle) / cumulative discharge amp-hours over the historical period. A single driving cycle is defined as the process from vehicle start-up to vehicle stop. The average temperature during a single driving cycle is the average temperature of the power battery during that single driving cycle. The discharge amp-hours during a single driving cycle are the total amp-hours of electricity released by the power battery during that single driving cycle. The cumulative discharge amp-hours over the historical period are the total amp-hours of electricity released by the power battery over the historical period. The historical average temperature corresponding to the charging condition is calculated as follows: Σ(Average temperature during a single charge * Charging ampere-hours during a single charge) / Cumulative discharge ampere-hours over a historical period. A single charge is defined as the process from the start of charging the power battery to the stop of charging. The average temperature during a single charge is the average temperature of the power battery during a single charge. The charging ampere-hours during a single charge is the total ampere-hours of electricity charged into the power battery during a single charge. The cumulative discharge ampere-hours over a historical period is the total ampere-hours of electricity released by the power battery within the historical period. The historical average temperature corresponding to the idle condition is calculated as follows: Σ(0.5 * (initial idle temperature + end idle temperature) * single idle duration) / total accumulated idle duration over the historical period. The initial idle temperature is the temperature of the power battery when the vehicle is idled (i.e., not in use), the end idle temperature is the temperature of the power battery when the vehicle is no longer idled (i.e., in use), the single idle duration is the time taken from the start of idled vehicle to the end of idled vehicle, and the total accumulated idle duration over the historical period is the sum of all single idle durations of the vehicle within the historical period.

[0072] Then, stepwise regression, a statistical analysis method, can be used to sequentially input the historical operating data of each vehicle into a correlation model for linear fitting, obtaining the weight coefficient of each correlation analysis variable. Preset operating conditions where the weight coefficient is greater than a specified threshold are designated as specified operating conditions. The specified threshold can be a weight value determined manually after statistical analysis of a large number of experiments. When the weight coefficient of a correlation analysis variable is greater than the specified threshold, it can be considered that the correlation analysis variable has a significant impact on the capacity degradation of the power battery, and the preset operating condition corresponding to the correlation analysis variable is designated as the specified operating condition. For example, if the specified threshold is 0.1, and the weight coefficient of the historical average temperature corresponding to the driving condition is 0.15 (i.e., greater than the specified threshold), then the driving condition can be designated as the specified operating condition. Furthermore, the historical operating data of each vehicle can be sequentially input into the correlation model for hypothesis testing analysis to obtain the significance level of each correlation analysis variable. Preset operating conditions where the weight coefficient is greater than the specified threshold and the significance level is greater than a preset threshold (e.g., the preset threshold can be 0.05) are designated as specified operating conditions.

[0073] Figure 2 It is based on Figure 1 The illustrated embodiment shows a flowchart of step 103. For example... Figure 2 As shown, step 103 may include the following steps:

[0074] Step 1031: Determine the abnormal temperature value corresponding to each specified operating condition based on the historical average temperature of the vehicle under each specified operating condition.

[0075] For example, after determining the specified operating conditions, we can first analyze the historical average temperature of each vehicle under each specified operating condition to determine the abnormal temperature value of that vehicle under each specified operating condition. For instance, we can first calculate the average value μ and standard deviation σ of the historical average temperature of all vehicles under each specified operating condition, and then determine the abnormal temperature value of that vehicle under that specified operating condition based on the calculated μ and σ. For example, referring to the 6σ level comparison table, the probability of the historical average temperature being greater than μ+3σ is only 0.135%, therefore, the abnormal temperature value of that vehicle under that specified operating condition can be set as μ+3σ.

[0076] Step 1032: Based on the abnormal temperature value corresponding to each specified working condition, adjust the preset temperature threshold corresponding to the vehicle under the specified working condition to obtain the working condition temperature threshold of the vehicle under each preset working condition.

[0077] Furthermore, for each specified operating condition, if the historical average temperature of the vehicle under that specified operating condition is greater than the abnormal temperature value corresponding to that specified operating condition, it can be determined that the historical average temperature of the vehicle under that specified operating condition is abnormally high, posing a risk of rapid capacity degradation of the power battery. The preset temperature threshold corresponding to that specified operating condition can be reduced according to a preset temperature adjustment step size (e.g., 2℃) to obtain the operating temperature threshold of the vehicle under that specified operating condition. Moreover, for each preset operating condition other than the specified operating condition among multiple preset operating conditions, the preset temperature threshold corresponding to that preset operating condition can be used as the operating temperature threshold of the vehicle under that preset operating condition.

[0078] Figure 3 This is a flowchart illustrating another battery thermal management method according to an exemplary embodiment. Figure 3 As shown, the operating temperature threshold includes an operating condition activation threshold and an operating condition deactivation threshold. The method may further include the following steps:

[0079] Step 104: For each vehicle, if the operating temperature of the target power battery is greater than the target operating condition opening threshold corresponding to the target operating condition of the target power battery, the target power battery is cooled, and the cooling of the target power battery is stopped when the operating temperature of the target power battery is less than or equal to the target operating condition exit threshold corresponding to the target operating condition.

[0080] For example, after determining the operating temperature threshold for each vehicle, if the current operating temperature of the target power battery of that vehicle is greater than the target operating condition activation threshold corresponding to the target operating condition, the vehicle's battery thermal management system can cool the target power battery (e.g., by cooling the power battery with coolant). Cooling of the target power battery will stop when the operating temperature of the target power battery is less than or equal to the target operating condition exit threshold. For instance, if the target operating condition is a standby condition, the target operating condition activation threshold is 27°C, and the target operating condition exit threshold is 25°C, when the operating temperature of the target power battery is 28°C, the battery thermal management system can cool the target power battery with coolant until the operating temperature of the target power battery is less than or equal to 25°C, at which point the battery thermal management system will stop cooling the target power battery.

[0081] In summary, this disclosure first obtains historical operating data of the power battery of each of a preset number of vehicles within a historical time period. This historical operating data includes battery state data and the historical average temperature of the power battery under each preset operating condition. Then, based on the historical operating data, at least one specified operating condition is determined from multiple preset operating conditions. For each vehicle, a preset temperature threshold corresponding to that specified operating condition is adjusted based on the historical average temperature of that vehicle under that specified operating condition, resulting in the operating temperature threshold for that vehicle under each preset operating condition. This allows for temperature management of the target power battery based on its operating temperature and the target operating temperature threshold corresponding to the target operating condition. This disclosure considers the actual operating conditions of the power battery. By utilizing historical operating data to adjust the preset temperature threshold, the operating temperature threshold for each preset operating condition is obtained, enabling flexible adjustment of the temperature threshold in the cooling strategy. This ensures that the operating temperature of the power battery is always controlled within a suitable range, thereby optimizing the operating temperature of the power battery and slowing down its degradation rate.

[0082] Figure 4 This is a block diagram illustrating a thermal management device for a battery according to an exemplary embodiment. Figure 4 As shown, the device 200 includes:

[0083] The acquisition module 201 is used to acquire the historical operating data of the power battery of each of the preset number of vehicles within a historical time period.

[0084] The historical operating data includes battery status data and the historical average temperature of the power battery under each preset operating condition.

[0085] The determination module 202 is used to determine at least one specified operating condition from multiple preset operating conditions based on historical operating data.

[0086] The adjustment module 203 is used to adjust the preset temperature threshold corresponding to the vehicle under the specified operating conditions for each vehicle based on the historical average temperature of the vehicle under the specified operating conditions, so as to obtain the operating temperature threshold of the vehicle under each preset operating condition, so as to perform temperature management of the target power battery according to the operating temperature of the target power battery of the vehicle and the target operating temperature threshold corresponding to the target operating condition of the target power battery.

[0087] Optionally, the battery status data includes the battery's storage time, discharge amount, and capacity degradation. Multiple preset operating conditions include driving conditions, charging conditions, and storage conditions. The determination module 202 is used for:

[0088] Based on historical operating data, at least one specified operating condition is determined through a preset correlation model.

[0089] The correlation model can be expressed as: C = a1Q + a2t + a3T1 + a4T2 + a5T3.

[0090] Where C is the capacity decay, Q is the discharge amount, a1 is the weighting coefficient corresponding to Q, t is the shelving time, a2 is the weighting coefficient corresponding to t, T1 is the historical average temperature corresponding to driving conditions, a3 is the weighting coefficient corresponding to T1, T2 is the historical average temperature corresponding to charging conditions, a4 is the weighting coefficient corresponding to T2, T3 is the historical average temperature corresponding to shelving conditions, and a5 is the weighting coefficient corresponding to T3.

[0091] Optionally, the determining module 202 is used for:

[0092] The historical operating data of each vehicle is sequentially input into the correlation model for linear fitting to obtain the weight coefficients.

[0093] Preset operating conditions with weight coefficients greater than a specified threshold are designated as specified operating conditions.

[0094] Figure 5 It is based on Figure 4 The illustrated embodiment shows a block diagram of an adjustment module. (As shown) Figure 5 As shown, the adjustment module 203 includes:

[0095] The determination submodule 2031 is used to determine the abnormal temperature value corresponding to each specified operating condition based on the historical average temperature of the vehicle under each specified operating condition.

[0096] The adjustment submodule 2032 is used to adjust the preset temperature threshold of the vehicle under the specified operating conditions according to the abnormal temperature value corresponding to each specified operating condition, so as to obtain the operating temperature threshold of the vehicle under each preset operating condition.

[0097] Optionally, the adjustment submodule 2032 is used for:

[0098] For each specified operating condition, if the historical average temperature of the vehicle under that specified operating condition is greater than the abnormal temperature value under that specified operating condition, the preset temperature threshold for that specified operating condition is reduced according to the preset temperature adjustment step size, so as to obtain the operating temperature threshold of the vehicle under that specified operating condition.

[0099] For each preset working condition other than the specified working condition among multiple preset working conditions, the preset temperature threshold corresponding to the preset working condition is used as the working temperature threshold of the vehicle under that preset working condition.

[0100] Figure 6 This is a block diagram illustrating another battery thermal management device according to an exemplary embodiment. Figure 6 As shown, the device 200 also includes:

[0101] The temperature management module 204 is used to cool the target power battery for each vehicle if the operating temperature of the target power battery is greater than the target operating condition opening threshold corresponding to the target operating condition of the target power battery, and to stop cooling the target power battery when the operating temperature of the target power battery is less than or equal to the target operating condition exit threshold corresponding to the target operating condition.

[0102] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0103] In summary, this disclosure first obtains historical operating data of the power battery of each of a preset number of vehicles within a historical time period. This historical operating data includes battery state data and the historical average temperature of the power battery under each preset operating condition. Then, based on the historical operating data, at least one specified operating condition is determined from multiple preset operating conditions. For each vehicle, a preset temperature threshold corresponding to that specified operating condition is adjusted based on the historical average temperature of that vehicle under that specified operating condition, resulting in the operating temperature threshold for that vehicle under each preset operating condition. This allows for temperature management of the target power battery based on its operating temperature and the target operating temperature threshold corresponding to the target operating condition. This disclosure considers the actual operating conditions of the power battery. By utilizing historical operating data to adjust the preset temperature threshold, the operating temperature threshold for each preset operating condition is obtained, enabling flexible adjustment of the temperature threshold in the cooling strategy. This ensures that the operating temperature of the power battery is always controlled within a suitable range, thereby optimizing the operating temperature of the power battery and slowing down its degradation rate.

[0104] Figure 7 A block diagram of an electronic device 700 is shown according to an exemplary embodiment. (See diagram below.) Figure 7 As shown, the electronic device 700 may include a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input / output (I / O) interface 704, and a communication component 705.

[0105] The processor 701 controls the overall operation of the electronic device 700 to complete all or part of the steps in the aforementioned battery thermal management method. The memory 702 stores various types of data to support the operation of the electronic device 700. This data may include, for example, instructions for any application or method operating on the electronic device 700, and application-related data such as contact data, sent and received messages, pictures, audio, video, etc. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. Multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in memory 702 or transmitted via communication component 705. The audio component also includes at least one speaker for outputting audio signals. I / O interface 704 provides an interface between processor 701 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual or physical buttons. Communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IoT, eMTC, or other 5G technologies, or combinations thereof, is not limited here. Therefore, the corresponding communication component 705 may include: a Wi-Fi module, a Bluetooth module, an NFC module, etc.

[0106] In an exemplary embodiment, the electronic device 700 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described battery thermal management method.

[0107] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the battery thermal management method described above. For example, the computer-readable storage medium may be the memory 702 including program instructions described above, which may be executed by the processor 701 of the electronic device 700 to complete the battery thermal management method described above.

[0108] Figure 8 This is a block diagram illustrating an electronic device 1900 according to an exemplary embodiment. For example, the electronic device 1900 may be provided as a server. (Refer to...) Figure 8 The electronic device 1900 includes a processor 1922, which may be one or more, and a memory 1932 for storing computer programs executable by the processor 1922. The computer program stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processor 1922 may be configured to execute the computer program to perform the aforementioned battery thermal management method.

[0109] Additionally, the electronic device 1900 may also include a power supply component 1926 and a communication component 1950. The power supply component 1926 can be configured to perform power management of the electronic device 1900, and the communication component 1950 can be configured to enable communication of the electronic device 1900, such as wired or wireless communication. Furthermore, the electronic device 1900 may also include an input / output (I / O) interface 1958. The electronic device 1900 can operate on an operating system, such as Windows Server, stored in memory 1932. TM Mac OS X TM Unix TM Linux TM etc.

[0110] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the battery thermal management method described above. For example, the non-transitory computer-readable storage medium may be the memory 1932 including program instructions described above, which may be executed by the processor 1922 of the electronic device 1900 to complete the battery thermal management method described above.

[0111] In another exemplary embodiment, a computer program product is also provided, the computer program product comprising a computer program executable by a programmable device, the computer program having a code portion for performing the above-described thermal management method for a battery when executed by the programmable device.

[0112] The preferred embodiments of this disclosure have been described in detail above with reference to the accompanying drawings. However, this disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this disclosure, various simple modifications can be made to the technical solutions of this disclosure, and these simple modifications all fall within the protection scope of this disclosure.

[0113] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0114] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

Claims

1. A method of thermal management of a battery, characterized by, The method comprises: acquiring historical operation data of a power battery of each of a preset number of vehicles in a historical time period, the historical operation data comprising battery state data and historical average temperatures of the power battery of the vehicle in each preset working condition; linearly fitting the historical operation data of each vehicle in sequence in a preset correlation model to obtain weight coefficients of each correlation analysis variable, the correlation analysis variable comprising the historical average temperatures of the power battery of the vehicle in each preset working condition; taking the preset working condition with a weight coefficient greater than a specified threshold value as at least one specified working condition in a plurality of preset working conditions, the specified working condition comprising a preset working condition with a more obvious influence on capacity attenuation of the power battery; for each vehicle, adjusting a preset temperature threshold value corresponding to the specified working condition of the vehicle according to the historical average temperature corresponding to the specified working condition of the vehicle to obtain a working condition temperature threshold value of the vehicle in each preset working condition, so as to perform temperature management on a target power battery of the vehicle according to an operating temperature of the target power battery and a target working condition temperature threshold value corresponding to a target working condition in which the target power battery is located.

2. The thermal management method of claim 1, wherein, The battery state data comprises a storage duration of the power battery, a discharge amount of the power battery and a capacity attenuation amount of the power battery, and the plurality of preset working conditions comprise a driving working condition, a charging working condition and a storage working condition; The correlation model can be expressed as: ; wherein C is the capacity attenuation amount, Q is the discharge amount, a1 is the weight coefficient corresponding to Q, t is the storage duration, a2 is the weight coefficient corresponding to t, T1 is the historical average temperature corresponding to the driving working condition, a3 is the weight coefficient corresponding to T1, T2 is the historical average temperature corresponding to the charging working condition, a4 is the weight coefficient corresponding to T2, T3 is the historical average temperature corresponding to the storage working condition, and a5 is the weight coefficient corresponding to T3.

3. The thermal management method of claim 1, wherein, The adjustment of the preset temperature threshold value corresponding to the specified working condition of the vehicle according to the historical average temperature corresponding to the specified working condition of the vehicle to obtain the working condition temperature threshold value of the vehicle in each preset working condition comprises: determining an abnormal temperature value corresponding to each specified working condition according to the historical average temperature corresponding to each specified working condition of the vehicle; adjusting the preset temperature threshold value corresponding to the specified working condition of the vehicle according to the abnormal temperature value corresponding to each specified working condition to obtain the working condition temperature threshold value of the vehicle in each preset working condition; The adjustment of the preset temperature threshold value corresponding to the specified working condition of the vehicle according to the abnormal temperature value corresponding to each specified working condition to obtain the working condition temperature threshold value of the vehicle in each preset working condition comprises: for each specified working condition, if the historical average temperature corresponding to the specified working condition of the vehicle is greater than the abnormal temperature value corresponding to the specified working condition, reducing the preset temperature threshold value corresponding to the specified working condition by a preset temperature adjustment step to obtain the working condition temperature threshold value of the vehicle in the specified working condition.

4. The thermal management method of claim 3, wherein, The method further comprises: For each of the vehicles, if the operating temperature of the target power battery of the vehicle is greater than the target working condition opening threshold corresponding to the target working condition in which the target power battery is located, the target power battery is cooled, and when the operating temperature of the target power battery is less than or equal to the target working condition exit threshold corresponding to the target working condition, the cooling of the target power battery is stopped.

5. The thermal management method of claim 1, wherein, The device comprises: The acquisition module is configured to acquire historical operation data of a power battery of each of a plurality of vehicles in a historical time period, wherein the historical operation data comprises battery state data and historical average temperature of the power battery corresponding to each of a plurality of preset working conditions of the vehicle.

6. A thermal management device for a battery, characterized by The determination module is configured to input the historical operation data of each of the vehicles into a preset correlation model in sequence for linear fitting to obtain a weight coefficient of each correlation analysis variable, wherein the correlation analysis variable comprises the historical average temperature of the power battery corresponding to each of the preset working conditions of the vehicle; and the preset working condition with the weight coefficient greater than a specified threshold is taken as at least one specified working condition in the plurality of preset working conditions, and the specified working condition comprises a preset working condition in which the capacity attenuation of the power battery is more obvious. The adjustment module is configured to, for each of the vehicles, adjust a preset temperature threshold corresponding to the specified working condition of the vehicle according to the historical average temperature of the vehicle in the specified working condition to obtain a working condition temperature threshold of the vehicle in each of the preset working conditions, so that the target power battery of the vehicle is temperature-managed according to the operating temperature of the target power battery and a target working condition temperature threshold corresponding to a target working condition in which the target power battery is located. The adjustment module comprises: The determination submodule is configured to determine an abnormal temperature value corresponding to each of the specified working conditions according to the historical average temperature of the vehicle in each of the specified working conditions.

7. The thermal management device of claim 6, wherein, The adjustment submodule is configured to adjust the preset temperature threshold corresponding to the specified working condition of the vehicle according to the abnormal temperature value corresponding to each of the specified working conditions to obtain the working condition temperature threshold of the vehicle in each of the preset working conditions. The adjustment submodule is configured to adjust the preset temperature threshold corresponding to the specified working condition of the vehicle according to the abnormal temperature value corresponding to each of the specified working conditions to obtain the working condition temperature threshold of the vehicle in each of the preset working conditions. ​ ​ For each of the specified operating conditions, if the historical average temperature of the vehicle in the specified operating condition is greater than the abnormal temperature value corresponding to the specified operating condition, the preset temperature threshold corresponding to the specified operating condition is reduced by a preset temperature adjustment step to obtain an operating condition temperature threshold of the vehicle in the specified operating condition.

8. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The program, when executed by a processor, implements the steps of the method of any one of claims 1-5.

9. An electronic device, comprising: Comprising: a memory having a computer program stored thereon; a processor configured to execute the computer program in the memory to implement the steps of the method of any one of claims 1-5.

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