Energy-saving control method and device for electric vehicle and electric vehicle

By acquiring control strategies based on battery health, vehicle energy consumption, and battery charge, and combining these strategies with priority, the electric vehicle is controlled to enter an energy-saving mode. This solves the problem of a single energy-saving mode in existing technologies and achieves energy saving and comfort improvement throughout the entire lifecycle.

CN116901729BActive Publication Date: 2026-02-24CHONGQING JINKANG NEW ENERGY VEHICLE CO LTD
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Patent Information

Application Number
CN202311070423.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-08-23
Publication Date
2026-02-24
Estimated Expiration
2043-08-23

AI Technical Summary

Technical Problem

Existing electric vehicles have a single energy-saving mode, which fails to comprehensively consider the vehicle's energy consumption and battery health under the user's driving behavior, and cannot meet the energy-saving needs throughout the entire life cycle.

Method used

After receiving the energy-saving mode command, the system obtains the battery health, vehicle energy consumption, and battery charge, determines the corresponding control strategy for each, and determines the target control strategy based on the strategy priority to control the electric vehicle to enter the energy-saving mode.

Benefits of technology

It achieves comprehensive energy saving and power saving under different conditions, improving user comfort and satisfaction.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides an energy-saving control method and device for an electric vehicle and the electric vehicle. The method comprises the following steps: after receiving an opening instruction of an energy-saving mode, obtaining a battery health degree, a vehicle energy consumption and a battery power of the electric vehicle; determining a control strategy of the energy-saving mode corresponding to each of the battery health degree, the vehicle energy consumption and the battery power; determining a target control strategy from the control strategies corresponding to the battery health degree, the vehicle energy consumption and the battery power according to a strategy priority; and controlling the electric vehicle to enter the energy-saving mode according to the target control strategy. The above technical means solves the problem that the energy-saving mode of the electric vehicle is single and the vehicle energy consumption and the battery health degree under the driving behavior of a user cannot be considered in the prior art.
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Description

Technical Field

[0001] This application relates to the field of automotive technology, and in particular to an energy-saving control method, device, and electric vehicle for electric vehicles. Background Technology

[0002] Current energy-saving or power-saving modes for electric vehicles are relatively simple. For example, activating the energy-saving mode when the battery is low only considers the battery level and does not organically combine it with the overall vehicle energy consumption and battery health under the user's driving behavior. This cannot meet the growing energy-saving and power-saving needs of users throughout the entire vehicle lifecycle. Users need a comprehensive energy-saving and power-saving mode that can be activated when the battery is high, energy consumption is high, or battery health is low. Therefore, a comprehensive energy-saving and power-saving mode control method covering the entire vehicle lifecycle is urgently needed. Summary of the Invention

[0003] In view of this, embodiments of this application provide an energy-saving control method, device, electric vehicle, and storage medium for electric vehicles, in order to solve the problem that in the prior art, the energy-saving mode of electric vehicles is singular and cannot take into account the overall vehicle energy consumption and battery health under the user's driving behavior.

[0004] A first aspect of this application provides an energy-saving control method for an electric vehicle, comprising: upon receiving an instruction to activate an energy-saving mode, acquiring the battery health, vehicle energy consumption, and battery charge of the electric vehicle; determining control strategies for the energy-saving mode corresponding to each of the battery health, vehicle energy consumption, and battery charge; determining a target control strategy from the control strategies corresponding to the battery health, vehicle energy consumption, and battery charge based on strategy priority; and controlling the electric vehicle to enter the energy-saving mode according to the target control strategy.

[0005] A second aspect of this application provides an energy-saving control device for an electric vehicle, comprising: an acquisition module configured to acquire the battery health, vehicle energy consumption, and battery charge of the electric vehicle after receiving an instruction to activate an energy-saving mode; a judgment module configured to determine control strategies for the energy-saving modes corresponding to the battery health, vehicle energy consumption, and battery charge, respectively; a determination module configured to determine a target control strategy from the control strategies corresponding to the battery health, vehicle energy consumption, and battery charge, respectively, based on strategy priority; and a control module configured to control the electric vehicle to enter the energy-saving mode according to the target control strategy.

[0006] A third aspect of this application provides an electric vehicle, including a memory, a vehicle controller, and a computer program stored in the memory and executable on the vehicle controller, wherein the vehicle controller executes the computer program to implement the steps of the method described above.

[0007] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of any of the methods described above.

[0008] The beneficial effects of the embodiments of this application compared with the prior art include at least the following: determining control strategies for energy-saving modes corresponding to battery health, vehicle energy consumption, and battery charge respectively; determining a target control strategy from the control strategies corresponding to battery health, vehicle energy consumption, and battery charge according to the strategy priority; and controlling the electric vehicle to enter the energy-saving mode according to the target control strategy. Therefore, by adopting the above technical means, the problem that the energy-saving mode of electric vehicles in the prior art is singular and cannot take into account the vehicle energy consumption and battery health under the user's driving behavior can be solved, thereby increasing energy saving, improving comfort, and enhancing user satisfaction. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a schematic flowchart of an energy-saving control method for an electric vehicle provided in an embodiment of this application;

[0011] Figure 2 This is a flowchart illustrating another energy-saving and power-saving control method for electric vehicles provided in an embodiment of this application;

[0012] Figure 3 This is a schematic diagram of the structure of an energy-saving and power-saving control device for an electric vehicle provided in an embodiment of this application;

[0013] Figure 4 This is a schematic diagram of the structure of an electric vehicle provided in an embodiment of this application. Detailed Implementation

[0014] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0015] Figure 1This is a schematic flowchart of an energy-saving control method for electric vehicles provided in an embodiment of this application. Figure 1 The energy-saving control method for electric vehicles can be executed by the vehicle controller installed on the electric vehicle, or by a computer or server, or by the vehicle controller installed on a computer or server, or by software on a computer or ordinary server. The energy-saving control method for electric vehicles includes:

[0016] S101, after receiving the command to activate the energy-saving mode, obtains the battery health, vehicle energy consumption and battery charge of the electric vehicle.

[0017] S102, respectively determine the control strategies for energy-saving modes corresponding to battery health, vehicle energy consumption and battery capacity;

[0018] S103, based on the strategy priority, determine the target control strategy from the control strategies corresponding to battery health, vehicle energy consumption and battery capacity respectively;

[0019] S104 controls the electric vehicle to enter the energy-saving mode according to the target control strategy.

[0020] Specifically: Battery Health (SOH) represents the current health status of the electric vehicle's battery; Battery Charge (SOC) represents the current charge level of the electric vehicle's battery; and Vehicle Energy Consumption represents the actual energy consumption generated during the electric vehicle's operation. Both battery health and battery charge can be expressed as a percentage, with 100% indicating the highest level of both.

[0021] Based on battery health, vehicle energy consumption, and battery charge, a control strategy can be determined for each of the three factors, resulting in a total of three control strategies. Then, the strategy with the highest priority is selected as the target control strategy. Finally, the electric vehicle is controlled to enter the energy-saving mode according to the target control strategy. In other words, the electric vehicle is controlled according to the target control strategy in the energy-saving mode.

[0022] According to the technical solution provided in this application, after receiving the command to activate the energy-saving mode, the battery health, vehicle energy consumption, and battery charge of the electric vehicle are obtained; control strategies for the energy-saving mode corresponding to each of the battery health, vehicle energy consumption, and battery charge are determined respectively; a target control strategy is determined from the control strategies corresponding to each of the battery health, vehicle energy consumption, and battery charge based on the strategy priority; and the electric vehicle is controlled to enter the energy-saving mode according to the target control strategy. By adopting the above technical means, the problem of the existing electric vehicle's single energy-saving mode, which cannot consider the vehicle energy consumption and battery health under the user's driving behavior, can be solved, thereby increasing energy saving, improving comfort, and enhancing user satisfaction.

[0023] Furthermore, the control strategies include: a first strategy, a second strategy, a third strategy, and a fourth strategy; the priority of each strategy, from high to low, is the first strategy, the second strategy, the third strategy, and the fourth strategy. The control strategies include the control of vehicle speed, thermal management maximum power, and drive torque.

[0024] For example, based on battery health, vehicle energy consumption, and battery capacity, three control strategies are determined as Strategy 1, Strategy 2, and Strategy 3, respectively. Since Strategy 1 has the highest priority, it is used as the target control strategy. Similarly, based on battery health, vehicle energy consumption, and battery capacity, three control strategies are determined as Strategy 2, Strategy 3, and Strategy 4, respectively. Since Strategy 2 has the highest priority, it is used as the target control strategy…

[0025] Furthermore, control strategies for energy-saving modes corresponding to battery health, vehicle energy consumption, and battery capacity are determined separately, including: adopting a fourth strategy when battery health is greater than or equal to a first threshold; adopting a third strategy when battery health is greater than or equal to a second threshold and less than a first threshold; adopting a second strategy when battery health is greater than or equal to a third threshold and less than a second threshold; and adopting a first strategy when battery health is less than a third threshold. The thresholds, from largest to smallest, are the first threshold, the second threshold, and the third threshold.

[0026] For example: the first threshold is 92%, the second threshold is 87%, and the third threshold is 83%. Battery health is represented by SOH. When SOH ≥ 92%, the battery health is high, and the fourth strategy is adopted; when 87% ≤ SOH < 92%, the battery health is relatively high, and the third strategy is adopted; when 83% ≤ SOH < 87%, the battery health is average, and the second strategy is adopted; when SOH < 83%, the battery health is poor, and the first strategy is adopted.

[0027] As time and the number of charging cycles increase, the battery ages and its internal resistance increases, its capacity gradually decreases, and its state of health (SOH) gradually declines. Therefore, this application's embodiments adopt corresponding strategies for different battery health levels.

[0028] Furthermore, control strategies for energy-saving modes corresponding to battery health, vehicle energy consumption, and battery capacity are determined separately, including: a fourth strategy when vehicle energy consumption is less than the first energy consumption; a third strategy when vehicle energy consumption is greater than or equal to the first energy consumption and less than the second energy consumption; and a second strategy when vehicle energy consumption is greater than or equal to the second energy consumption; wherein the first energy consumption is less than the second energy consumption.

[0029] For example, let Tc represent the overall vehicle energy consumption, and set a fixed energy consumption Tf. Let Tf*1.15 represent the first energy consumption, and Tf*1.3 represent the second energy consumption. Then, when Tc < Tf*1.15, the actual energy consumption is low, and the fourth strategy is adopted; when Tf*1.15 ≤ Tc, the actual energy consumption is slightly high, and the third strategy is adopted; when Tf*1.3 ≤ Tc, the actual energy consumption is high, and the second strategy is adopted.

[0030] The vehicle energy consumption Tc reflects the average energy consumption of the vehicle during current driving and is a key indicator for achieving the driving range. In this application embodiment, the actual energy consumption Tc is compared with the fixed energy consumption Tf, and corresponding strategies are adopted for the actual energy consumption.

[0031] Furthermore, control strategies for energy-saving modes corresponding to battery health, vehicle energy consumption, and battery capacity are determined separately, including: a fourth strategy when the battery capacity is greater than or equal to a first capacity; a third strategy when the battery capacity is greater than or equal to a second capacity but less than a first capacity; a second strategy when the battery capacity is greater than or equal to a third capacity but less than a second capacity; and a first strategy when the battery capacity is less than a third capacity. The control strategies include: the first strategy, the second strategy, the third strategy, and the fourth strategy, with the capacity values ​​from largest to smallest being the first capacity, the second capacity, and the third capacity.

[0032] For example: the first battery level is 70%, the second is 50%, and the third is 20%. Let SOC represent the battery level. When SOC ≥ 70%, the battery level is high, and the fourth strategy is used; when 50% ≤ SOC < 70%, the battery level is relatively high, and the third strategy is used; when 20% ≤ SOC < 50%, the battery level is relatively low, and the second strategy is used; when SOC < 20%, the battery level is low, and the first strategy is used.

[0033] Battery charge is an important indicator of the remaining battery charge. In this application embodiment, different strategies are adopted when the battery charge is high, medium and low to reduce the energy consumption of the whole vehicle and improve the range.

[0034] In some embodiments, the strategy includes: a first strategy including controlling the vehicle speed of the electric vehicle to be less than or equal to a first speed, the maximum thermal management power to be less than a first power, and limiting the drive torque to be less than a first torque; a second strategy including controlling the vehicle speed of the electric vehicle to be less than or equal to a second speed, the maximum thermal management power to be less than a second power, and limiting the drive torque to be less than a second torque; a third strategy including controlling the vehicle speed of the electric vehicle to be less than or equal to a third speed, the maximum thermal management power to be less than a third power, and limiting the drive torque to be less than a third torque; and a fourth strategy keeping all settings on the electric vehicle unchanged.

[0035] In some embodiments, the following strategies are included: a first strategy further includes controlling the electric vehicle to switch its energy recovery mode to strong, disable the front motor, close all windows, switch the driving mode to energy-saving mode, and turn off or adjust electrical components; a second strategy further includes controlling the electric vehicle to switch its energy recovery mode to strong, disable the front motor, close all windows, switch the driving mode to energy-saving mode, and turn off or adjust electrical components; a third strategy further includes controlling the electric vehicle to disable the front motor, switch the driving mode to comfort mode, and turn off or adjust electrical components; and a fourth strategy keeps all settings on the electric vehicle unchanged. The speeds, from smallest to largest, are designated as first speed, second speed, and third speed; the power, from smallest to largest, is designated as first power, second power, and third power; the torque, from smallest to largest, is designated as first torque, second torque, and third torque; and the methods for turning off or adjusting electrical components vary among the strategies.

[0036] It's important to note that the maximum thermal management power is the maximum value of the thermal management power. Thermal management power refers to the power generated by functions such as tailgate defrosting, air conditioning operation, battery heating and cooling, motor heating and cooling, range extender heating and cooling, and engine heating and cooling. Controlling the maximum thermal management power of an electric vehicle to be less than the first power means controlling these functions to ensure the maximum thermal management power is lower than the first power. Energy recovery modes have varying strengths. Strong energy recovery modes recover more energy but result in lower ride comfort, while weak energy recovery modes have the opposite effect. Driving modes include Sport, Comfort, and Eco modes. Eco mode is the most energy-efficient but has lower ride comfort, while Comfort mode offers the best ride comfort but higher energy consumption. The range of driving torque is limited and depends on the selected driving mode.

[0037] For example, the first speed, second speed, and third speed are set to 80km / h, 100km / h, and 120km / h, respectively; the first power, second power, and third power are set to 20%, 50%, and 70% of the rated power, respectively; and the first torque, second torque, and third torque are set to 50%, 60%, and 70% of the theoretical maximum driving torque, respectively.

[0038] The first strategy involves turning off or adjusting electrical components, including: turning off wireless charging, turning off seat massage / ventilation / heating, reducing the car audio volume to 20%, and reducing the brightness of the car's large instrument panel to 30%. The second strategy involves turning off or adjusting electrical components, including: turning off wireless charging, turning off seat massage / ventilation / heating, reducing the car audio volume to 50%, and reducing the brightness of the car's large instrument panel to 50%. The third strategy involves turning off or adjusting electrical components, including: turning off seat massage / heating, reducing the car audio volume to 70%, and reducing the brightness of the car's large instrument panel to 50%.

[0039] The fourth strategy is to keep all settings on the electric vehicle unchanged, including: the vehicle speed, the maximum power of thermal management, the energy recovery mode, the motor usage, the opening and closing of the windows, the driving mode and the drive torque, and various electrical components.

[0040] Figure 2 This is a flowchart illustrating another energy-saving and power-saving control method for electric vehicles provided in an embodiment of this application, as shown below. Figure 2 As shown, it includes:

[0041] S201, determine whether to enable energy-saving mode;

[0042] S202: After the energy-saving mode is turned on, the vehicle status is monitored in real time to see if the preset conditions are met. If the preset conditions are met, the energy-saving mode is exited. The preset conditions include: the electric vehicle is powered off, the command to exit the energy-saving mode is received, and the electric vehicle enters the charging state.

[0043] When the energy-saving mode is not activated, all settings on the S203 electric vehicle remain unchanged.

[0044] Furthermore, the vehicle will exit energy-saving mode when it detects high or low voltage electricity from the body controller. "Power off the entire electric vehicle" means the entire electric vehicle is powered off or turned off.

[0045] All of the above-mentioned optional technical solutions can be combined in any way to form the optional embodiments of this application, and will not be described in detail here.

[0046] The following are embodiments of the apparatus described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0047] Figure 3 This is a schematic diagram of an energy-saving and power-saving control device for an electric vehicle provided in an embodiment of this application.

[0048] like Figure 3 As shown, the energy-saving control device for this electric vehicle includes:

[0049] The acquisition module 301 is configured to acquire the battery health, vehicle energy consumption and battery charge of the electric vehicle after receiving the power saving mode activation command.

[0050] The judgment module 302 is configured to determine the control strategies for the energy-saving and power-saving modes corresponding to the battery health, vehicle energy consumption and battery charge, respectively.

[0051] The determination module 303 is configured to determine the target control strategy based on the control strategies corresponding to battery health, vehicle energy consumption and battery capacity, respectively, according to the strategy priority.

[0052] The control module 304 is configured to control the electric vehicle to enter the energy-saving mode according to the target control strategy.

[0053] According to the technical solution provided in this application, after receiving the command to activate the energy-saving mode, the battery health, vehicle energy consumption, and battery charge of the electric vehicle are obtained; control strategies for the energy-saving mode corresponding to each of the battery health, vehicle energy consumption, and battery charge are determined respectively; a target control strategy is determined from the control strategies corresponding to each of the battery health, vehicle energy consumption, and battery charge based on the strategy priority; and the electric vehicle is controlled to enter the energy-saving mode according to the target control strategy. By adopting the above technical means, the problem of the existing electric vehicle's single energy-saving mode, which cannot consider the vehicle energy consumption and battery health under the user's driving behavior, can be solved, thereby increasing energy saving, improving comfort, and enhancing user satisfaction.

[0054] Furthermore, the control strategies include: a first strategy, a second strategy, a third strategy, and a fourth strategy; the priority of each strategy, from high to low, is the first strategy, the second strategy, the third strategy, and the fourth strategy. The control strategies include the control of vehicle speed, thermal management maximum power, and drive torque.

[0055] In some embodiments, the judgment module 302 is further configured to adopt a fourth strategy when the battery health is greater than or equal to a first threshold; adopt a third strategy when the battery health is greater than or equal to a second threshold and less than the first threshold; adopt a second strategy when the battery health is greater than or equal to a third threshold and less than the second threshold; and adopt a first strategy when the battery health is less than the third threshold. The control strategies include: the first strategy, the second strategy, the third strategy and the fourth strategy, and the thresholds are, in descending order, the first threshold, the second threshold and the third threshold.

[0056] In some embodiments, the judgment module 302 is further configured to adopt a fourth strategy when the total vehicle energy consumption is less than the first energy consumption; adopt a third strategy when the total vehicle energy consumption is greater than or equal to the first energy consumption and less than the second energy consumption; and adopt a second strategy when the total vehicle energy consumption is greater than or equal to the second energy consumption. The control strategy includes the first strategy, the second strategy, the third strategy and the fourth strategy, wherein the first energy consumption is less than the second energy consumption.

[0057] In some embodiments, the judgment module 302 is further configured to adopt a fourth strategy when the battery charge is greater than or equal to a first charge; adopt a third strategy when the battery charge is greater than or equal to a second charge and less than the first charge; adopt a second strategy when the battery charge is greater than or equal to a third charge and less than the second charge; and adopt a first strategy when the battery charge is less than the third charge. The control strategies include: the first strategy, the second strategy, the third strategy and the fourth strategy, and the charges in descending order are the first charge, the second charge and the third charge.

[0058] In some embodiments, the strategy includes: a first strategy including controlling the vehicle speed of the electric vehicle to be less than or equal to a first speed, the maximum thermal management power to be less than a first power, and limiting the drive torque to be less than a first torque; a second strategy including controlling the vehicle speed of the electric vehicle to be less than or equal to a second speed, the maximum thermal management power to be less than a second power, and limiting the drive torque to be less than a second torque; a third strategy including controlling the vehicle speed of the electric vehicle to be less than or equal to a third speed, the maximum thermal management power to be less than a third power, and limiting the drive torque to be less than a third torque; and a fourth strategy keeping all settings on the electric vehicle unchanged.

[0059] In some embodiments, the following strategies are included: a first strategy further includes controlling the electric vehicle to switch its energy recovery mode to strong, disable the front motor, close all windows, switch the driving mode to energy-saving mode, and turn off or adjust electrical components; a second strategy further includes controlling the electric vehicle to switch its energy recovery mode to strong, disable the front motor, close all windows, switch the driving mode to energy-saving mode, and turn off or adjust electrical components; a third strategy further includes controlling the electric vehicle to disable the front motor, switch the driving mode to comfort mode, and turn off or adjust electrical components; and a fourth strategy keeps all settings on the electric vehicle unchanged. The speeds, from smallest to largest, are designated as first speed, second speed, and third speed; the power, from smallest to largest, is designated as first power, second power, and third power; the torque, from smallest to largest, is designated as first torque, second torque, and third torque; and the methods for turning off or adjusting electrical components vary among the strategies.

[0060] Maximum thermal management power is the maximum value of thermal management power. Thermal management power refers to the power generated by functions such as tailgate defrosting, air conditioning startup and shutdown, battery heating and cooling, motor heating and cooling, range extender heating and cooling, and engine heating and cooling. Controlling the maximum thermal management power of an electric vehicle to be less than the first power means controlling aspects such as tailgate defrosting, battery heating and cooling, motor heating and cooling, range extender heating and cooling, and engine heating and cooling to ensure that the maximum thermal management power is less than the first power. Energy recovery modes are divided into strong and weak types. Strong energy recovery modes recover more energy but result in lower ride comfort, while weak energy recovery modes have the opposite effect. Driving modes include Sport mode, Comfort mode, and Eco mode. Eco mode is the most energy-efficient but has lower ride comfort, while Comfort mode offers the best ride comfort but higher energy consumption. The limitation of drive torque is related to the selected driving mode.

[0061] The first strategy involves turning off or adjusting electrical components, including: turning off wireless charging, turning off seat massage / ventilation / heating, reducing the car audio volume to 20%, and reducing the brightness of the car's large instrument panel to 30%. The second strategy involves turning off or adjusting electrical components, including: turning off wireless charging, turning off seat massage / ventilation / heating, reducing the car audio volume to 50%, and reducing the brightness of the car's large instrument panel to 50%. The third strategy involves turning off or adjusting electrical components, including: turning off seat massage / heating, reducing the car audio volume to 70%, and reducing the brightness of the car's large instrument panel to 50%.

[0062] The fourth strategy is to keep all settings on the electric vehicle unchanged, including: the vehicle speed, the maximum power of thermal management, the energy recovery mode, the motor usage, the opening and closing of the windows, the driving mode and the drive torque, and various electrical components.

[0063] In some embodiments, the control module 304 is further configured to determine whether to enable the energy-saving mode; after enabling the energy-saving mode, it detects in real time whether the vehicle status meets preset conditions, and exits the energy-saving mode if the preset conditions are met. The preset conditions include: the electric vehicle is powered off, an instruction to exit the energy-saving mode is received, and the electric vehicle enters the charging state; when the energy-saving mode is not enabled, all settings on the electric vehicle remain unchanged.

[0064] Furthermore, the vehicle will exit energy-saving mode when it detects high or low voltage electricity from the body controller. "Power off the entire electric vehicle" means the entire electric vehicle is powered off or turned off.

[0065] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0066] Figure 4 This is a schematic diagram of the electric vehicle 4 provided in an embodiment of this disclosure. Figure 4 As shown, the electric vehicle 4 in this embodiment includes: a vehicle controller 401, a memory 402, and a computer program 403 stored in the memory 402 and executable on the vehicle controller 401. When the vehicle controller 401 executes the computer program 403, it implements the steps in the various method embodiments described above. Alternatively, when the vehicle controller 401 executes the computer program 403, it implements the functions of each module / unit in the various device embodiments described above.

[0067] The electric vehicle 4 may include, but is not limited to, a vehicle controller 401 and a memory 402. Those skilled in the art will understand that... Figure 4 This is merely an example of electric vehicle 4 and does not constitute a limitation on electric vehicle 4. It may include more or fewer parts than shown, or different parts.

[0068] The vehicle controller 601 can be a VCU (Vehicle Control Unit).

[0069] The memory 402 can be an internal storage unit of the electric vehicle 4, such as a hard drive or RAM in the electric vehicle 4. The memory 402 can also be an external storage device of the electric vehicle 4, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, etc., installed in the electric vehicle 4. The memory 402 can also include both internal and external storage units of the electric vehicle 4. The memory 402 is used to store computer programs and other programs and data required by the electric vehicle.

[0070] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0071] If an integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by the vehicle controller, it can implement the steps of the various method embodiments described above. The computer program may include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium may be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0072] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for energy-saving and power-saving control of electric vehicles, characterized in that, include: Upon receiving the command to activate the energy-saving mode, the system obtains the battery health, overall vehicle energy consumption, and battery charge of the electric vehicle. The control strategies for the energy-saving and power-saving modes corresponding to the battery health, the vehicle energy consumption, and the battery charge are determined respectively. Based on the strategy priority, a target control strategy is determined from the control strategies corresponding to the battery health, the vehicle energy consumption, and the battery charge, respectively. The electric vehicle is controlled to enter the energy-saving mode according to the target control strategy; The control strategy includes: a first strategy, a second strategy, a third strategy, and a fourth strategy; The priority of each strategy in the strategy priority list is as follows, from high to low: first strategy, second strategy, third strategy, and fourth strategy. The control strategy includes the control of vehicle speed, thermal management maximum power, and drive torque.

2. The method according to claim 1, characterized in that, The control strategy for determining the energy-saving and power-saving modes corresponding to the battery health, vehicle energy consumption, and battery charge respectively includes: When the battery health level is greater than or equal to the first threshold, the fourth strategy is adopted; When the battery health level is greater than or equal to the second threshold and less than the first threshold, a third strategy is adopted; When the battery health level is greater than or equal to the third threshold and less than the second threshold, the second strategy is adopted; When the battery health level is less than the third threshold, the first strategy is adopted; The thresholds, from largest to smallest, are the first threshold, the second threshold, and the third threshold.

3. The method according to claim 1, characterized in that, The control strategy for determining the energy-saving and power-saving modes corresponding to the battery health, vehicle energy consumption, and battery charge respectively includes: When the overall vehicle energy consumption is less than the first energy consumption, the fourth strategy is adopted; When the total vehicle energy consumption is greater than or equal to the first energy consumption and less than the second energy consumption, a third strategy is adopted; When the total vehicle energy consumption is greater than or equal to the second energy consumption, the second strategy is adopted; Wherein, the first energy consumption is less than the second energy consumption.

4. The method according to claim 1, characterized in that, The control strategy for determining the energy-saving and power-saving modes corresponding to the battery health, vehicle energy consumption, and battery charge respectively includes: When the battery charge is greater than or equal to the first charge level, the fourth strategy is adopted; When the battery charge is greater than or equal to the second charge and less than the first charge, a third strategy is adopted; When the battery charge is greater than or equal to the third charge and less than the second charge, the second strategy is adopted; When the battery charge is less than the third charge level, the first strategy is adopted; The quantities of electricity, from largest to smallest, are the first quantity, the second quantity, and the third quantity.

5. The method according to claim 1, characterized in that, include: The first strategy includes controlling the electric vehicle's speed to be less than or equal to a first speed, controlling the maximum thermal management power to be less than a first power, and limiting the drive torque to be less than a first torque; The second strategy includes controlling the electric vehicle's speed to be less than or equal to a second speed, controlling the maximum thermal management power to be less than a second power, and limiting the drive torque to be less than a second torque; The third strategy includes controlling the electric vehicle's speed to be less than or equal to the third speed, the maximum thermal management power to be less than the third power, and limiting the drive torque to be less than the third torque; The fourth strategy is to keep all settings on the electric vehicle unchanged; The speeds, from smallest to largest, are the first speed, the second speed, and the third speed; the power, from smallest to largest, is the first power, the second power, and the third power; and the torque, from smallest to largest, is the first torque, the second torque, and the third torque.

6. The method according to claim 1, characterized in that, Determine whether to enable the energy-saving mode; After the energy-saving mode is activated, the vehicle status is monitored in real time to see if it meets the preset conditions. If the preset conditions are met, the energy-saving mode is exited. The preset conditions include: the electric vehicle is powered off, an instruction to exit the energy-saving mode is received, and the electric vehicle enters the charging state. When the energy-saving mode is not activated, all settings on the electric vehicle remain unchanged.

7. An energy-saving and power-saving control device for electric vehicles, characterized in that, include: The acquisition module is configured to acquire the battery health, vehicle energy consumption, and battery charge of the electric vehicle after receiving the command to activate the energy-saving mode. The judgment module is configured to determine the control strategy of the energy-saving mode corresponding to the battery health, the vehicle energy consumption and the battery charge respectively; The determination module is configured to determine the target control strategy from the control strategies corresponding to the battery health, the vehicle energy consumption, and the battery charge, based on the strategy priority. The control module is configured to control the electric vehicle to enter the energy-saving mode according to the target control strategy; The control strategy includes: a first strategy, a second strategy, a third strategy, and a fourth strategy; The priority of each strategy in the strategy priority list is as follows, from high to low: first strategy, second strategy, third strategy, and fourth strategy. The control strategy includes the control of vehicle speed, thermal management maximum power, and drive torque.

8. An electric vehicle, characterized in that, The system includes a memory, a vehicle controller, and a computer program stored in the memory and executable on the vehicle controller, wherein the vehicle controller, when executing the computer program, implements the energy-saving control method as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 6.

Citation Information

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