Energy management method and system of hybrid electric vehicle, vehicle and equipment
By setting the battery level and vehicle speed range in hybrid vehicles, and adjusting engine speed and torque in combination with the principles of optimal NVH and fuel consumption, the problem of energy management methods failing to balance engine economy and power is solved, thus achieving a balance of vehicle energy and improved drivability.
Patent Information
- Application Number
- CN202511766259.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-27
- Publication Date
- 2026-01-09
AI Technical Summary
Existing energy management methods for hybrid electric vehicles fail to effectively balance engine economy and overall vehicle power, and fail to make comprehensive adjustments based on the actual operating conditions of the vehicle and the driver's needs, resulting in problems such as engine overheating, battery overheating, and reduced power.
By setting battery and speed ranges for different driving modes, and combining the principles of optimal NVH and optimal fuel consumption, the engine speed and torque are dynamically adjusted to achieve graded control of engine power, ensuring that the power battery charge is within a safe threshold range to meet the driver's needs.
It achieves graded control of engine power at different vehicle speeds, improves the energy management and drivability of new energy vehicles, achieves a balance between power and economy, and reduces energy consumption.
Smart Images

Figure CN121291392A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vehicle technology, and in particular to an energy management method, system, vehicle, and device for hybrid electric vehicles. Background Technology
[0002] For new energy vehicles, the energy supply is provided by the power battery and engine, and the torque is generated by the electric drive, which can achieve good response speed. However, because the energy management between the engine and the battery needs to be coordinated, there are a series of driving problems such as engine overheating, battery overheating, motor overheating, and reduced power. The purpose of energy management control methods is to find a balance between engine economy and vehicle power. For example, in a methanol range-extended hybrid system, the engine generates electricity to charge the battery when the power battery is in a low state of charge (SOC), while the engine operating point is dynamically adjusted to make the engine run in the high-efficiency range first and avoid the high fuel consumption range. However, this approach only considers fuel economy and does not comprehensively adjust the engine demand based on the actual operating conditions of the vehicle to improve the overall vehicle performance. Another approach allocates power based on the fuel cost objective function, the boundary of power source behavior, and the power demand of the motor, calculating the optimal power allocation for the fuel cell and lithium battery. However, this approach only considers better economic control and does not adapt to changes in the external environment or respond to driver expectations based on driver needs and the actual battery capacity. In yet another hybrid vehicle energy management solution, when the range-extended plug-in hybrid vehicle is in the stationary power generation mode, the range extender is controlled to start based on the target SOC and user needs. However, this approach does not comprehensively consider the impact of extreme environments on battery capacity and therefore cannot meet the driver's needs and expectations. Summary of the Invention
[0003] Based on this, it is necessary to provide an energy management method, system, vehicle, and equipment for hybrid electric vehicles to address the aforementioned technical problems, thereby achieving graded control of engine power at different vehicle speeds, realizing overall vehicle energy balance, and effectively improving the energy management and drivability of new energy vehicles.
[0004] Firstly, a method for energy management of a hybrid electric vehicle is provided, including: Different power ranges, vehicle speed ranges, and driver power demand ranges are set according to driving mode, available energy of the power battery, and allowable charging and discharging power. When the power battery is in a medium charge range, determine whether the driving mode is off-road mode; If the driving mode is non-off-road mode, then based on the preset NVH optimization principle, the engine power is set according to different vehicle speeds and throttles, the engine speed is controlled in the low-speed range, and the engine power is adjusted according to different vehicle speed ranges to maintain the power battery charge. If the driving mode is the off-road mode, then based on the preset optimal fuel consumption principle, the engine power demand is set according to different vehicle speeds and throttle positions, and the engine speed and torque demand are controlled to be in the region with the lowest fuel consumption in the universal characteristics.
[0005] In some examples, before setting the engine's power requirements according to different vehicle speeds and throttle positions based on preset NVH optimization principles, controlling the engine speed in the low-speed range, and adjusting the engine power according to different vehicle speed ranges to maintain the battery's charge, the process also includes: Determine whether the engine starting conditions are met based on vehicle speed and required power. If so, the following steps are executed: based on the preset NVH optimization principle, the engine power is set according to different vehicle speeds and throttles, the engine speed is controlled in the low-speed range, and the engine power is adjusted according to different vehicle speed ranges to maintain the power battery charge.
[0006] In some examples, it also includes: if the power battery is in a low charge range, then when the driving mode is non-off-road mode, based on the preset optimal fuel consumption principle, the engine graded power demand is set according to different vehicle speeds and throttles, and the engine demand speed and torque are controlled in the region with the lowest fuel consumption in the universal characteristics, so as to maintain the power and economy of the vehicle while keeping the charge above the safe threshold.
[0007] In some examples, it also includes: if the driving mode is off-road mode, then based on the principle of prioritizing power, the engine power demand is set according to different vehicle speeds and throttle positions, and the engine speed and torque demand are controlled in the high speed and high torque range.
[0008] In some examples, if the power battery is in a high charge range, the method further includes controlling the vehicle to drive in a pure electric mode.
[0009] In some examples, the different charge ranges are dynamically varied depending on the driving mode, the available energy of the battery, and the permissible charge / discharge power.
[0010] Secondly, an energy management system for a hybrid electric vehicle is provided, including: The setting module is used to set different power ranges, different vehicle speed ranges, and driver power demand ranges based on the driving mode, the available energy of the power battery, and the allowed charging and discharging power. The judgment module is used to determine whether the driving mode is off-road mode when the power battery is in the medium charge range. The energy management and power distribution module is used to, when the driving mode is non-off-road mode, set the engine power demand according to different vehicle speeds and throttle positions based on the preset NVH optimization principle, control the engine speed in the low-speed range, and adjust the engine power according to different vehicle speed ranges to maintain the power battery charge. If the driving mode is off-road mode, it sets the engine power demand according to different vehicle speeds and throttle positions based on the preset fuel consumption optimization principle, and controls the engine speed and torque demand in the region with the lowest fuel consumption in the universal characteristics.
[0011] Thirdly, a vehicle is provided, comprising: an energy management system for a hybrid electric vehicle as described in the second aspect above.
[0012] Fourthly, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements the steps of the energy management method for a hybrid electric vehicle according to the first aspect and any possible implementation thereof.
[0013] Fifthly, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the energy management method for a hybrid electric vehicle according to the first aspect and any possible implementation thereof.
[0014] In a sixth aspect, a computer program product is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the energy management method for a hybrid electric vehicle according to the first aspect and any possible implementation thereof.
[0015] By adopting the embodiments of this application, energy management control can be performed according to the driving mode. Energy management is achieved by stabilizing the engine operating point, realizing graded control of engine power at different vehicle speeds, and achieving energy balance of the whole vehicle. This effectively improves the energy management and drivability of new energy vehicles, achieving a balance between power and economy, and can reduce energy consumption while ensuring power demand. Attached Figure Description
[0016] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 A flowchart illustrating the energy management method for a hybrid electric vehicle provided in this application embodiment; Figure 2 A schematic diagram illustrating the implementation process of the energy management method for hybrid electric vehicles provided in this application embodiment; Figure 3A structural block diagram of the energy management system for a hybrid electric vehicle provided in an embodiment of this application; Figure 4 This is a structural block diagram of a computer device provided in an embodiment of this application. Detailed Implementation
[0017] The present application will now be described in further detail with reference to the embodiments and accompanying drawings. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the application. Furthermore, it should be noted that, for ease of description, only the parts relevant to the application are shown in the accompanying drawings.
[0018] It should be noted that, unless otherwise specified, the embodiments and features of the embodiments in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.
[0019] The energy management method, system, vehicle, and device of a hybrid electric vehicle according to embodiments of this application are described in detail below with reference to the accompanying drawings.
[0020] In the method of this application embodiment, the vehicle is, for example, a hybrid electric vehicle, such as a gasoline-electric hybrid electric vehicle. The method can, based on the objective indicators of the upper limit of each power source input in the project, combined with the working mode of the components under various working conditions, consider the current state of the battery (i.e., the power battery) charge and the driver's expected power demand, and achieve graded control of engine power at different vehicle speeds by controlling the engine demand power and battery discharge capacity, thereby achieving the energy balance of the whole vehicle and effectively improving the energy management and drivability of new energy vehicles.
[0021] Specifically Figure 1 This is a flowchart of an energy management method for a hybrid electric vehicle according to an embodiment of this application. Figure 1 As shown, the energy management method for a hybrid electric vehicle according to an embodiment of this application includes the following steps: S101: Set different power ranges, different vehicle speed ranges, and different power ranges required by the driver based on the driving mode, the available energy of the power battery, and the allowed charging and discharging power.
[0022] It should be noted that the different battery capacity ranges are dynamically adjusted according to the driving mode, the available energy of the battery, and the permissible charging and discharging power.
[0023] As a concrete example, different battery levels, different vehicle speeds, and different driver power requirements can all be divided into three ranges: high, medium, and low.
[0024] Combination Figure 2As shown, based on the available energy and permissible charge / discharge power of the power battery (i.e., the allowable charge / discharge power of the power battery), the current driving mode, etc., low, medium, and high charge ranges are set, and these ranges can be dynamically adjusted according to ambient temperature and altitude. Low, medium, and high vehicle speed ranges and driver power demand ranges are also set to determine whether the engine needs to be started and to distinguish the engine's operating point. For example, the charge level between 10% and 40% can be defined as the low charge range, 40%-70% as the medium charge range, and 70%-100% as the high charge range.
[0025] S102: When the power battery is in a medium charge range, determine whether the driving mode is off-road mode. In one embodiment of this application, the vehicle's driving mode may include comfort mode, off-road mode, sport mode, etc.
[0026] S103: If the driving mode is a non-off-road mode, then based on the preset NVH optimization principle, the engine power is set according to different vehicle speeds and throttles to control the engine speed in the low-speed range, and the engine power is adjusted according to different vehicle speed ranges to maintain the power battery charge.
[0027] In one embodiment of this application, such as Figure 2 As shown, before setting the engine's graded power requirements based on different vehicle speeds and throttle positions according to the preset NVH optimization principle, controlling the engine speed in the low-speed range, and adjusting the engine power according to different vehicle speed ranges to maintain the power battery's charge, the process also includes: determining whether the engine starting conditions have been met based on the vehicle speed and required power; if so, then executing the steps of setting the engine's graded power requirements based on different vehicle speeds and throttle positions according to the preset NVH optimization principle, controlling the engine speed in the low-speed range, and adjusting the engine power according to different vehicle speed ranges to maintain the power battery's charge.
[0028] Combination Figure 2 As shown, when the power battery's charge level is moderate, meaning it falls within the middle range, the engine's graded control level is determined based on the current vehicle battery status and driving mode. In non-off-road mode, based on the principle of optimal NVH (Noise, Vibration, and Harshness), the engine's graded power requirements are set according to different vehicle speeds and throttle positions. At this time, the engine speed is controlled in a lower range, and the engine power is adjusted according to different vehicle speed ranges to maintain the vehicle's overall battery level.
[0029] S104: If the driving mode is the off-road mode, then based on the preset optimal fuel consumption principle, the engine power demand is set according to different vehicle speeds and throttle positions, and the engine speed and torque demand are controlled to be in the region with the lowest fuel consumption in the universal characteristics.
[0030] Combination Figure 2As shown, in off-road mode, based on the principle of optimal fuel consumption, the engine power demand is set according to different vehicle speeds and throttle positions, and the engine speed and torque demand are controlled in the region with the lowest fuel consumption in the universal characteristics, so as to maintain the vehicle's power and economy.
[0031] In one embodiment of this application, the energy management method for a hybrid electric vehicle further includes: if the power battery is in a low charge range, then when the driving mode is a non-off-road mode, based on a preset optimal fuel consumption principle, setting the engine graded power demand according to different vehicle speeds and throttles, controlling the engine demand speed and torque in the region with the lowest fuel consumption in the universal characteristics, maintaining the vehicle's power and economy while keeping the charge above a safe threshold.
[0032] Furthermore, the energy management method for hybrid electric vehicles also includes: if the driving mode is off-road mode, then based on the principle of prioritizing power, setting the engine's graded power demand according to different vehicle speeds and throttle positions, and controlling the engine's required speed and torque in the high speed and high torque range.
[0033] Combination Figure 2 As shown, when the power battery charge is low, i.e., in the low charge range, the engine control level is determined based on the current power battery status and driving mode. In non-off-road mode, based on the principle of optimal fuel consumption, the engine power demand is set according to different vehicle speeds and throttle positions, controlling the engine speed and torque demand in the region with the lowest fuel consumption in the universal characteristics, maintaining the vehicle's power and economy while keeping the battery charge above the safe threshold. In off-road mode, based on the principle of prioritizing power, the engine power demand is set according to different vehicle speeds and throttle positions, controlling the engine speed and torque demand in the high speed and high torque range, maintaining most of the vehicle's off-road capabilities and charging as quickly as possible.
[0034] In one embodiment of this application, combined with Figure 2 As shown, the energy management method for hybrid electric vehicles further includes, when the power battery is in a high charge range, controlling the vehicle to drive in a pure electric drive mode.
[0035] The embodiments of this application first dynamically set low, medium, and high thresholds for battery charge range, low, medium, and high thresholds for battery charge / discharge capacity, low, medium, and high thresholds for the current driving mode and speed range, and low, medium, and high thresholds for engine power range (NVH zone, economy zone, and high power zone) based on parameters such as external environment, vehicle performance, and operating status. Then, based on the driver's needs, it intelligently determines whether to start the engine and enter hybrid mode. Simultaneously, after the engine starts, based on the actual vehicle operating status, battery status, vehicle speed, and driver's power requirements, and comprehensively considering the principles of optimal NVH and fuel consumption, it differentiates and sets the engine's required power, speed, torque, and speed change rate. When the battery charge is high and the driving mode is gentle, it ensures good fuel economy and NVH performance for the entire vehicle; when the battery charge is low or the driving mode is aggressive, it ensures that the battery charge is maintained at a high charge / discharge capacity, avoiding a significant decrease in the vehicle's power performance, effectively improving the vehicle's overall performance and meeting user needs. In other words, it first dynamically sets low, medium, and high battery charge ranges based on parameters such as battery status, vehicle operating status, and driving mode. Based on the engine's universal characteristics, phased operating zones are set, prioritizing NVH (Noise, Vibration, and Harshness), fuel economy, and high-power generation. Then, the engine start-up is intelligently determined based on the driver's power demand and vehicle speed. After starting, the engine's required power, speed, and torque are set in zones based on the vehicle's actual operating status, including battery level, power demand, driving mode, and vehicle speed. When the battery level is high, good fuel economy and NVH performance are ensured; when the battery level is low, sufficient power is guaranteed to meet the driver's aggressive driving needs, preventing a significant decrease in vehicle power due to battery voltage drop. Through this tiered energy management control, the overall vehicle performance is improved. (1) Based on the battery's allowable charge and discharge power and driving mode, the battery power threshold and vehicle speed threshold are set differently and dynamically corrected according to the ambient temperature and altitude coefficient, so as to identify and distinguish the vehicle status under each working condition and predict the driver's intention.
[0036] (2) Based on the differences in driving mode, vehicle speed and actual battery level, different engine working zones are set, and the engine is judged whether to enter the zone with better NVH or the zone with higher power generation according to the driver's needs.
[0037] (3) When the battery level is moderate, the engine power and speed are set at each vehicle speed based on the optimal NVH settings. The engine power demand is less than the driver power demand, and the battery assists in part of the demand, ensuring that the engine noise can be well masked by wind noise and tire noise, thus improving the overall NVH performance of the vehicle. When the driver power demand and vehicle speed increase, the engine speed and torque are set based on the optimal fuel consumption settings. The engine power demand is greater than the driver power demand, ensuring that the engine operates in the optimal specific fuel consumption range, thus improving the overall vehicle economy.
[0038] (4) When the battery is low, the engine is set to work in the high power range at different vehicle speeds based on the actual battery charge, battery charging and discharging power, vehicle status, driving mode, etc., and the battery provides a small amount of transient assistance or no assistance. Under the premise that the battery charge can be maintained above the safety threshold, the engine speed can be moved closer to the more economical range.
[0039] The energy management method for hybrid electric vehicles according to the embodiments of this application can perform energy management control according to the driving mode, realize energy management by stabilizing the engine operating point, achieve graded control of engine power at different vehicle speeds, realize the energy balance of the whole vehicle, effectively improve the energy management and drivability of new energy vehicles, achieve a balance between power and economy, and achieve the goal of reducing energy consumption while ensuring power demand.
[0040] Figure 3 This is a structural block diagram of the energy management system of a hybrid electric vehicle according to an embodiment of this application. Figure 3 As shown, the energy management system of a hybrid electric vehicle according to an embodiment of this application includes: a setting module 310, a judging module 320, and an energy management and power distribution module 330, wherein: The setting module 310 is used to set different power ranges, different vehicle speed ranges, and driver demand power ranges according to the driving mode, the available energy of the power battery, and the allowable charging and discharging power. The judgment module 320 is used to determine whether the driving mode is off-road mode when the power battery is in the medium charge range. The energy management and power distribution module 330 is used to, when the driving mode is non-off-road mode, set the engine graded power demand according to different vehicle speeds and throttle positions based on the preset NVH optimization principle, control the engine speed in the low-speed range, and adjust the engine power according to different vehicle speed ranges to maintain the power battery charge. If the driving mode is off-road mode, it sets the engine graded power demand according to different vehicle speeds and throttle positions based on the preset fuel consumption optimization principle, and controls the engine speed and torque demand in the region with the lowest fuel consumption in the universal characteristics.
[0041] The energy management system of the hybrid electric vehicle according to the embodiments of this application can perform energy management control according to the driving mode, realize energy management by stabilizing the engine operating point, realize graded control of engine power at different vehicle speeds, realize the energy balance of the whole vehicle, effectively improve the energy management and drivability of new energy vehicles, achieve a balance between power and economy, and achieve the goal of reducing energy consumption while ensuring power demand.
[0042] Specific limitations regarding the energy management system of hybrid electric vehicles can be found in the above-described limitations of the energy management method for hybrid electric vehicles, and will not be repeated here. The various modules of the aforementioned energy management system for hybrid electric vehicles can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.
[0043] In one embodiment, a vehicle is provided, including: an energy management system for a hybrid electric vehicle according to any of the above embodiments. The vehicle can perform energy management control according to the driving mode, achieve energy management by stabilizing the engine operating point, realize graded control of engine power at different vehicle speeds, achieve energy balance of the whole vehicle, effectively improve the energy management and drivability of new energy vehicles, achieve a balance between power and economy, and achieve the goal of reducing energy consumption while ensuring power demand.
[0044] Furthermore, other components and functions of the vehicle according to the embodiments of this application are known to those skilled in the art and will not be described in detail here.
[0045] In one embodiment, a computer device is provided. Figure 4 This is a structural block diagram of the computer device provided in the embodiments of this application, with reference to... Figure 4 The computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned embodiment of the energy management method for hybrid electric vehicles. For example, it executes: setting different power ranges, different vehicle speed ranges, and different power demand ranges for the driver based on the driving mode, the available energy of the power battery, and the permissible charging and discharging power. When the power battery is in a medium charge range, determine whether the driving mode is off-road mode; If the driving mode is non-off-road mode, then based on the preset NVH optimization principle, the engine power is set according to different vehicle speeds and throttles, the engine speed is controlled in the low-speed range, and the engine power is adjusted according to different vehicle speed ranges to maintain the power battery charge. If the driving mode is the off-road mode, then based on the preset optimal fuel consumption principle, the engine power demand is set according to different vehicle speeds and throttle positions, and the engine speed and torque demand are controlled to be in the region with the lowest fuel consumption in the universal characteristics.
[0046] This application also provides a computer-readable storage medium storing a computer program. When the processor executes the computer program, it implements the aforementioned embodiment of the energy management method for hybrid electric vehicles. For example, it executes: setting different power ranges, different vehicle speed ranges, and different power demand ranges for the driver based on the driving mode, the available energy of the power battery, and the allowed charging and discharging power. When the power battery is in a medium charge range, determine whether the driving mode is off-road mode; If the driving mode is non-off-road mode, then based on the preset NVH optimization principle, the engine power is set according to different vehicle speeds and throttles, the engine speed is controlled in the low-speed range, and the engine power is adjusted according to different vehicle speed ranges to maintain the power battery charge. If the driving mode is the off-road mode, then based on the preset optimal fuel consumption principle, the engine power demand is set according to different vehicle speeds and throttle positions, and the engine speed and torque demand are controlled to be in the region with the lowest fuel consumption in the universal characteristics.
[0047] This application provides a computer program product including instructions that, when executed, cause the method described in this application embodiment to be performed. For example, it can execute... Figure 1 The steps of the energy management method for hybrid vehicles shown are executed, for example: Different power ranges, vehicle speed ranges, and driver power demand ranges are set according to driving mode, available energy of the power battery, and allowable charging and discharging power. When the power battery is in a medium charge range, determine whether the driving mode is off-road mode; If the driving mode is non-off-road mode, then based on the preset NVH optimization principle, the engine power is set according to different vehicle speeds and throttles, the engine speed is controlled in the low-speed range, and the engine power is adjusted according to different vehicle speed ranges to maintain the power battery charge. If the driving mode is the off-road mode, then based on the preset optimal fuel consumption principle, the engine power demand is set according to different vehicle speeds and throttle positions, and the engine speed and torque demand are controlled to be in the region with the lowest fuel consumption in the universal characteristics.
[0048] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.
[0049] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0050] The above embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. An energy management method for a hybrid electric vehicle, characterized in that, include: Different power ranges, vehicle speed ranges, and driver power demand ranges are set according to driving mode, available energy of the power battery, and allowable charging and discharging power. When the power battery is in a medium charge range, determine whether the driving mode is off-road mode; If the driving mode is non-off-road mode, then based on the preset NVH optimization principle, the engine power is set according to different vehicle speeds and throttles, the engine speed is controlled in the low-speed range, and the engine power is adjusted according to different vehicle speed ranges to maintain the power battery charge. If the driving mode is the off-road mode, then based on the preset optimal fuel consumption principle, the engine power demand is set according to different vehicle speeds and throttle positions, and the engine speed and torque demand are controlled to be in the region with the lowest fuel consumption in the universal characteristics.
2. The energy management method for a hybrid electric vehicle according to claim 1, characterized in that, Before setting the engine power requirements according to different vehicle speeds and throttle positions based on preset NVH optimization principles, controlling the engine speed in the low-speed range, and adjusting the engine power according to different vehicle speed ranges to maintain the power battery charge, the process also includes: Determine whether the engine starting conditions are met based on vehicle speed and required power. If so, the following steps are executed: based on the preset NVH optimization principle, the engine power is set according to different vehicle speeds and throttles, the engine speed is controlled in the low-speed range, and the engine power is adjusted according to different vehicle speed ranges to maintain the power battery charge.
3. The energy management method for a hybrid electric vehicle according to claim 1, characterized in that, Also includes: If the power battery is in a low charge range, then when the driving mode is non-off-road mode, based on the preset optimal fuel consumption principle, the engine power demand is set according to different vehicle speeds and throttle positions, and the engine speed and torque demand are controlled in the region with the lowest fuel consumption in the universal characteristics, so as to maintain the power and economy of the vehicle while keeping the charge above the safe threshold.
4. The energy management method for a hybrid electric vehicle according to claim 3, characterized in that, Also includes: If the driving mode is off-road mode, then based on the principle of prioritizing power, the engine power demand is set according to different vehicle speeds and throttle positions, and the required engine speed and torque are controlled in the high speed and high torque range.
5. The energy management method for a hybrid electric vehicle according to claim 1, characterized in that, If the power battery is in a high charge range, the method also includes: controlling the vehicle to drive in a pure electric drive mode.
6. The energy management method for a hybrid electric vehicle according to claim 1, characterized in that, The different power ranges are dynamically changed according to the driving mode, the available energy of the power battery, and the allowable charging and discharging power.
7. An energy management system for a hybrid electric vehicle, characterized in that, include: The setting module is used to set different power ranges, different vehicle speed ranges, and driver power demand ranges based on the driving mode, the available energy of the power battery, and the allowed charging and discharging power. The judgment module is used to determine whether the driving mode is off-road mode when the power battery is in the medium charge range. The energy management and power distribution module is used to, when the driving mode is non-off-road mode, set the engine power demand according to different vehicle speeds and throttle positions based on the preset NVH optimization principle, control the engine speed in the low-speed range, and adjust the engine power according to different vehicle speed ranges to maintain the power battery charge. If the driving mode is off-road mode, it sets the engine power demand according to different vehicle speeds and throttle positions based on the preset fuel consumption optimization principle, and controls the engine speed and torque demand in the region with the lowest fuel consumption in the universal characteristics.
8. A vehicle, characterized in that, include: The energy management system for a hybrid electric vehicle according to claim 7.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the energy management method for a hybrid electric vehicle according to any one of claims 1-6.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the energy management method for hybrid electric vehicles according to any one of claims 1-6.