Method and system for optimizing high-speed endurance of small-displacement extended-range electric vehicle
By acquiring vehicle status in real time and predicting driving conditions, the start-stop and energy management strategies of the range extender are optimized, solving the problem of insufficient power of small-displacement range extenders under high-speed conditions, and achieving extended driving range and improved power performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-26
- Publication Date
- 2026-03-24
AI Technical Summary
Small-displacement range extenders suffer from insufficient power at high speeds, and their energy management strategies are not effectively optimized, resulting in reduced driving range and decreased power.
By acquiring real-time vehicle status information, predicting future driving conditions, switching to high-speed mode, optimizing energy management strategies, and controlling the start/stop of the range extender and power output, the system can meet the needs of high-speed driving.
Extend driving range, enhance driving experience, improve fuel economy, and optimize energy distribution.
Smart Images

Figure CN121716675A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of new energy vehicle technology, and in particular relates to a method and system for optimizing the high-speed range of a small-displacement range-extended electric vehicle. Background Technology
[0002] Range-extended electric vehicles (EREVs), as a technological approach to addressing range anxiety associated with pure electric vehicles, have experienced rapid development in recent years. Compared to pure electric vehicles, EREVs offer the following advantages: Long driving range: The existence of the range extender allows the vehicle to continue driving after the battery is depleted, avoiding the inconvenience caused by insufficient charging facilities for pure electric vehicles.
[0003] Lower cost: The manufacturing and operating costs of small-displacement range extenders are relatively low, which can reduce the overall vehicle cost.
[0004] Flexible energy utilization: The range extender can be started and stopped flexibly according to the vehicle's needs, optimizing energy distribution.
[0005] However, despite the theoretical advantages of range-extended electric vehicles, in practical applications, especially models equipped with small-displacement range extenders, the following technical challenges still exist under high-speed conditions: 1. Insufficient power from small-displacement range extenders Small-displacement range extenders (such as those with a displacement of 1.0L or less) are suitable for urban driving and low-to-medium speed driving due to their small size, light weight, and low cost. However, under high-speed conditions, vehicles require higher power output to meet the power demands of high-speed driving. At this time, the output power of a small-displacement range extender may not be sufficient to simultaneously meet the needs of the drive motor and battery charging, causing the battery charge to continuously decrease and ultimately affecting the driving range.
[0006] 2. Insufficient energy management strategies under high-speed operating conditions Existing energy management strategies for range-extended electric vehicles are primarily designed for urban driving conditions and low-to-medium speed driving, with the core objective of optimizing the fuel economy of the range extender and the charging and discharging efficiency of the battery. However, under high-speed driving conditions, the vehicle's power demand and energy consumption characteristics differ significantly from those in urban conditions: High power demand: When driving at high speeds, vehicles require higher power output to overcome air resistance and rolling resistance.
[0007] Rapid energy consumption: Under high-speed operating conditions, the battery discharge rate increases, and the energy replenishment efficiency of the range extender may not be able to meet the demand.
[0008] Low range extender efficiency: Small displacement range extenders may not operate in their optimal efficiency range under high-speed and high-load conditions, resulting in decreased fuel economy.
[0009] 3. Limitations of existing solutions Existing methods typically assume that the range extender has sufficient power output, without fully considering the insufficient power of small-displacement range extenders under high-speed conditions, and without optimizing for the high power demand and high energy consumption characteristics of high-speed conditions.
[0010] Therefore, it is necessary to provide a new method and system for optimizing the high-speed range of small-displacement range-extended electric vehicles to solve the above-mentioned technical problems. Summary of the Invention
[0011] The purpose of this disclosure is to provide a method and system for optimizing the high-speed range of small-displacement range-extended electric vehicles in order to solve the above-mentioned problems.
[0012] This disclosure achieves the above objectives through the following technical solutions: A method for optimizing the high-speed driving range of a small-displacement range-extended electric vehicle includes the following steps: Real-time vehicle status information; Based on the acquired navigation information and historical driving data, predict the driving conditions within a preset time period in the future; Based on the predicted driving conditions, switch to high-speed mode and activate the range extender to provide power, thereby slowing down the rate of battery power consumption. Based on the high-speed mode and the vehicle status information, optimize the energy management strategy; The optimized energy management strategy is converted into control commands and sent to the actuator to achieve high-speed range optimization.
[0013] As a further optimization of this disclosure, the vehicle status information includes vehicle speed, battery charge, energy mode setting, range extender operating status, throttle opening, and brake signal.
[0014] As a further optimization of this disclosure, the driving conditions include vehicle speed and gradient.
[0015] As a further optimization of this disclosure, the optimized energy management strategy includes: The system proceeds to the first judgment step, which determines whether the battery SOC is lower than a preset percentage threshold. If not, the range extender will not start; if so, it proceeds to the second judgment step. The second judgment step includes determining whether the average power demand is less than a preset first power threshold; if so, the range extender starts and provides the preset first power value, and then proceeds to the third judgment step, which is to determine whether the battery SOC is lower than a preset percentage threshold; if so, the range extender stops starting; if not, the power is maintained until the battery SOC is lower than the preset percentage threshold. If the result of the second judgment step is negative, then proceed to the fourth judgment step, that is, whether the average power demand is less than the preset second power threshold, and the second power threshold is greater than the first power threshold; if yes, then the range extender starts and provides the preset second power value, which is greater than the first power value, and proceed to the fifth judgment step, that is, whether the battery SOC is lower than the preset percentage threshold; if yes, then the range extender stops starting; if no, then maintain the power until the battery SOC is lower than the preset percentage threshold. If the result of the fourth judgment step is negative, the range extender starts and provides the power of the preset third power value, and then proceeds to the sixth judgment step, which is to determine whether the battery SOC is lower than the preset percentage threshold. If not, the power is maintained until the battery SOC is lower than the preset percentage threshold. If yes, the range extender stops starting.
[0016] A high-speed range optimization system for small-displacement range-extended electric vehicles includes: The information acquisition module is used to acquire vehicle status information in real time; The driving condition prediction module is used to predict the driving conditions within a preset time period based on the acquired navigation information and historical driving data. The range extender control module is used to switch to high-speed mode and start the range extender to supply power according to the predicted driving conditions, so as to slow down the rate of battery power consumption. An energy strategy optimization module is used to optimize energy management strategies based on high-speed mode and vehicle status information; The execution module is used to convert the optimized energy management strategy into control commands and send them to the actuator to achieve high-speed range optimization.
[0017] As a further optimization of this disclosure, the vehicle status information includes vehicle speed, battery charge, energy mode setting, range extender operating status, throttle opening, and brake signal.
[0018] As a further optimization of this disclosure, the driving conditions include vehicle speed and gradient.
[0019] As a further optimization of this disclosure, the optimized energy management strategy includes: The system proceeds to the first judgment step, which determines whether the battery SOC is lower than a preset percentage threshold. If not, the range extender will not start; if so, it proceeds to the second judgment step. The second judgment step includes determining whether the average power demand is less than a preset first power threshold; if so, the range extender starts and provides the preset first power value, and then proceeds to the third judgment step, which is to determine whether the battery SOC is lower than a preset percentage threshold; if so, the range extender stops starting; if not, the power is maintained until the battery SOC is lower than the preset percentage threshold. If the result of the second judgment step is negative, then proceed to the fourth judgment step, that is, whether the average power demand is less than the preset second power threshold, and the second power threshold is greater than the first power threshold; if yes, then the range extender starts and provides the preset second power value, which is greater than the first power value, and proceed to the fifth judgment step, that is, whether the battery SOC is lower than the preset percentage threshold; if yes, then the range extender stops starting; if no, then maintain the power until the battery SOC is lower than the preset percentage threshold. If the result of the fourth judgment step is negative, the range extender starts and provides the power of the preset third power value, and then proceeds to the sixth judgment step, which is to determine whether the battery SOC is lower than the preset percentage threshold. If not, the power is maintained until the battery SOC is lower than the preset percentage threshold. If yes, the range extender stops starting.
[0020] An electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; The processor is used to execute the program stored in the memory to implement the high-speed range optimization method for small-displacement range-extended electric vehicles.
[0021] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the high-speed range optimization method for small-displacement range-extended electric vehicles.
[0022] The beneficial effects of this disclosure are as follows: Optimize energy distribution: Optimize the start-stop and operating condition control of the range extender in high-speed mode through energy management strategies to achieve optimal energy distribution and improve fuel economy.
[0023] Extended driving range: By maintaining battery power, the driving range of small-displacement range-extended electric vehicles is extended, preventing the battery from rapidly depleting under high-speed conditions.
[0024] Enhanced driving experience: Improved driving dynamics by reducing rapid battery depletion through predictive energy management. Attached Figure Description
[0025] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0026] Figure 1 This is a flowchart of a method in an embodiment of this disclosure; Figure 2 This is a flowchart of the optimized energy management strategy in an embodiment of this disclosure; Figure 3 This is a system structure block diagram of an embodiment of this disclosure; Figure 4 This is a block diagram of the device structure in an embodiment of this disclosure. Detailed Implementation
[0027] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0028] like Figure 1 As shown, a method for optimizing the high-speed range of a small-displacement range-extended electric vehicle includes the following steps: S1. Real-time acquisition of vehicle status information, specifically including: Real-time monitoring of vehicle status information, including vehicle speed, battery level, energy mode setting (pure electric mode or range extender mode, etc.), range extender operating status, throttle opening, and brake signal.
[0029] S2. Based on the acquired navigation information and historical driving data, predict the driving conditions within a preset time period in the future, specifically including: Based on navigation information, historical driving data, etc., predict vehicle speed, gradient and other driving conditions in the future.
[0030] S3. Based on the predicted driving conditions, switch to high-speed mode and activate the range extender to provide power, thereby slowing down the rate of battery consumption. Specifically, this includes: Based on the predicted high-speed driving conditions, switch to high-speed mode and start the range extender in advance to slow down the rate of battery consumption, increase the driving range, and ensure sufficient battery power to meet greater instantaneous power demands and maintain the vehicle's dynamic driving experience at high speeds (such as overtaking acceleration).
[0031] S4. Based on the high-speed mode and the vehicle status information, optimize the energy management strategy, specifically including: Based on the high-speed mode, an energy management strategy is adopted to optimize parameters such as range extender start-stop time, operating point, and battery charging and discharging power, thereby achieving better energy allocation and extending the driving range.
[0032] The energy management strategy optimization also includes: in high-speed mode, predicting the high-speed driving range and the vehicle's power demand based on navigation information and historical driving data; and controlling the range extender's activation and operating point according to the average power demand (determined by average vehicle speed) and battery SOC, with the control logic as follows: Figure 2 As shown. The specific judgment threshold of the control logic can be dynamically adjusted according to different vehicle models, powertrain and NVH requirements, and is not an absolute fixed value.
[0033] Based on the SOC and the average power demand of the vehicle, the start-stop and operating conditions of the range extender in high-speed mode are determined. The determined output power can be used to determine the optimal operating point of the range extender, thereby improving the efficiency of the vehicle.
[0034] Optimizing energy management strategies includes: The system proceeds to the first judgment step, which determines whether the battery SOC is below 80%. If not, the range extender will not start; if so, it proceeds to the second judgment step. The second judgment step includes determining whether the average power demand is less than 20kW; if so, the range extender starts and provides 15kW of power, and then proceeds to the third judgment step, which is to determine whether the battery SOC is lower than 80%; if so, the range extender stops starting; if not, the power is maintained until the battery SOC is lower than 80%. If the result of the second judgment step is negative, then proceed to the fourth judgment step, which checks whether the average power demand is less than 30kW; if yes, the range extender starts, providing 20kW of power, and then proceeds to the fifth judgment step, which checks whether the battery SOC is below 80%; if yes, the range extender stops starting; if no, it maintains power until the battery SOC is below 80%. If the result of the fourth judgment step is negative, the range extender starts and provides 30kW of power, and then proceeds to the sixth judgment step, which is to determine whether the battery SOC is below 80%. If negative, the power is maintained until the battery SOC is below 80%. If positive, the range extender stops starting.
[0035] S5. The optimized energy management strategy is converted into control commands and sent to the actuator to achieve high-speed range optimization.
[0036] Taking a certain range-extended electric vehicle equipped with a 1.0L range extender as an example, when driving at a speed of 120km / h on the highway, the required vehicle power is 35kW and the battery capacity is 60kWh. Based on the 80%-10% SOC range, it can travel on pure electric power for 1.2 hours, with a range of 144km. After that, due to the depletion of the battery and the high power demand of the vehicle under high-speed conditions, the 1.0L range extender cannot maintain the power demand, the vehicle speed decreases, the reserve power is insufficient, and the overall vehicle power performance is extremely poor.
[0037] If the range extender's rated power at 3500 rpm is 30 kW (higher speeds at this speed are considered unsuitable due to poor NVH performance), then the battery only needs to provide 5 kW. Within the 80%-10% SOC range, it can continuously drive for 8.4 hours in hybrid mode, covering a distance of 1008 km. During this process, the battery charge decreases slowly, providing more reserve power and significantly improving the overall driving experience.
[0038] like Figure 3 As shown, embodiments of this disclosure provide a high-speed range optimization system for small-displacement range-extended electric vehicles, including: The information acquisition module is used to acquire vehicle status information in real time; The driving condition prediction module is used to predict the driving conditions within a preset time period based on the acquired navigation information and historical driving data. The range extender control module is used to switch to high-speed mode and start the range extender to supply power according to the predicted driving conditions, so as to slow down the rate of battery power consumption. An energy strategy optimization module is used to optimize energy management strategies based on high-speed mode and vehicle status information; The execution module is used to convert the optimized energy management strategy into control commands and send them to the actuator to achieve high-speed range optimization.
[0039] The implementation process of the functions and roles of each module in the above system is detailed in the implementation process of the corresponding steps in the above method, and will not be repeated here.
[0040] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The system embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.
[0041] See Figure 3 The electronic device provided in the embodiments of this disclosure includes a processor 1110, a communication interface 1120, a memory 1130 and a communication bus 1140, wherein the processor 1110, the communication interface 1120 and the memory 1130 communicate with each other through the communication bus 1140. Memory 1130 is used to store computer programs; When the processor 1110 executes the program stored in the memory 1130, it implements the above-described method for optimizing the high-speed range of small-displacement range-extended electric vehicles. The aforementioned communication bus 1140 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus 1140 can be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, it is represented by only one thick line in the figure, but this does not indicate that there is only one bus or one type of bus.
[0042] The communication interface 1120 is used for communication between the above-mentioned electronic device and other devices.
[0043] The memory 1130 may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 1130 may also be at least one storage device located remotely from the aforementioned processor 1110.
[0044] Embodiments of this disclosure also provide a computer-readable storage medium. The computer-readable storage medium stores a computer program that, when executed by a processor, implements the high-speed range optimization method for small-displacement range-extended electric vehicles as described above.
[0045] The embodiments described above are merely examples of several implementations of this disclosure, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent disclosure. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this disclosure, and these modifications and improvements all fall within the protection scope of this disclosure.
Claims
1. A method for optimizing the high-speed range of a small-displacement range-extended electric vehicle, characterized in that, Includes the following steps: Real-time vehicle status information; Based on the acquired navigation information and historical driving data, predict the driving conditions within a preset time period in the future; Based on the predicted driving conditions, switch to high-speed mode and activate the range extender to provide power, thereby slowing down the rate of battery power consumption. Based on the high-speed mode and the vehicle status information, optimize the energy management strategy; The optimized energy management strategy is converted into control commands and sent to the actuator to achieve high-speed range optimization.
2. The method for optimizing the high-speed range of a small-displacement range-extended electric vehicle according to claim 1, characterized in that, The vehicle status information includes vehicle speed, battery level, energy mode setting, range extender operating status, throttle opening, and brake signal.
3. The method for optimizing the high-speed range of a small-displacement range-extended electric vehicle according to claim 1, characterized in that, The driving conditions include vehicle speed and gradient.
4. The method for optimizing the high-speed range of a small-displacement range-extended electric vehicle according to claim 1, characterized in that, The optimized energy management strategy includes: The system proceeds to the first judgment step, which determines whether the battery SOC is lower than a preset percentage threshold. If not, the range extender will not start; if so, it proceeds to the second judgment step. The second judgment step includes determining whether the average power demand is less than a preset first power threshold; if so, the range extender starts and provides the preset first power value, and then proceeds to the third judgment step, which is to determine whether the battery SOC is lower than a preset percentage threshold; if so, the range extender stops starting; if not, the power is maintained until the battery SOC is lower than the preset percentage threshold. If the result of the second judgment step is negative, then proceed to the fourth judgment step, that is, whether the average power demand is less than the preset second power threshold, and the second power threshold is greater than the first power threshold; if yes, then the range extender starts and provides the preset second power value, which is greater than the first power value, and proceed to the fifth judgment step, that is, whether the battery SOC is lower than the preset percentage threshold; if yes, then the range extender stops starting; if no, then maintain the power until the battery SOC is lower than the preset percentage threshold. If the result of the fourth judgment step is negative, the range extender starts and provides the power of the preset third power value, and then proceeds to the sixth judgment step, which is to determine whether the battery SOC is lower than the preset percentage threshold. If not, the power is maintained until the battery SOC is lower than the preset percentage threshold. If yes, the range extender stops starting.
5. A high-speed range optimization system for small-displacement range-extended electric vehicles, characterized in that, include: The information acquisition module is used to acquire vehicle status information in real time; The driving condition prediction module is used to predict the driving conditions within a preset time period based on the acquired navigation information and historical driving data. The range extender control module is used to switch to high-speed mode and start the range extender to supply power according to the predicted driving conditions, so as to slow down the rate of battery power consumption. An energy strategy optimization module is used to optimize energy management strategies based on high-speed mode and vehicle status information; The execution module is used to convert the optimized energy management strategy into control commands and send them to the actuator to achieve high-speed range optimization.
6. The high-speed range optimization system for a small-displacement range-extended electric vehicle according to claim 5, characterized in that, The vehicle status information includes vehicle speed, battery level, energy mode setting, range extender operating status, throttle opening, and brake signal.
7. A high-speed range optimization system for small-displacement range-extended electric vehicles according to claim 5, characterized in that, The driving conditions include vehicle speed and gradient.
8. The high-speed range optimization system for a small-displacement range-extended electric vehicle according to claim 5, characterized in that, The optimized energy management strategy includes: The system proceeds to the first judgment step, which determines whether the battery SOC is lower than a preset percentage threshold. If not, the range extender will not start; if so, it proceeds to the second judgment step. The second judgment step includes determining whether the average power demand is less than a preset first power threshold; if so, the range extender starts and provides the preset first power value, and then proceeds to the third judgment step, which is to determine whether the battery SOC is lower than a preset percentage threshold; if so, the range extender stops starting; if not, the power is maintained until the battery SOC is lower than the preset percentage threshold. If the result of the second judgment step is negative, then proceed to the fourth judgment step, that is, whether the average power demand is less than the preset second power threshold, and the second power threshold is greater than the first power threshold; if yes, then the range extender starts and provides the preset second power value, which is greater than the first power value, and proceed to the fifth judgment step, that is, whether the battery SOC is lower than the preset percentage threshold; if yes, then the range extender stops starting; if no, then maintain the power until the battery SOC is lower than the preset percentage threshold. If the result of the fourth judgment step is negative, the range extender starts and provides the power of the preset third power value, and then proceeds to the sixth judgment step, which is to determine whether the battery SOC is lower than the preset percentage threshold. If not, the power is maintained until the battery SOC is lower than the preset percentage threshold. If yes, the range extender stops starting.
9. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor is used to execute a program stored in a memory to implement the high-speed range optimization method for small-displacement range-extended electric vehicles as described in any one of claims 1-4.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the high-speed range optimization method for small-displacement range-extended electric vehicles as described in any one of claims 1-4.