Method and system for improving continuous climbing feed of extended-range electric vehicle

Abstract

The invention discloses a method and system for improving continuous climbing feed of an extended-range electric automobile, and relates to the technical field of automobile power system optimizing.The method comprises the steps that factor data influencing climbing of the electric automobile in real time are obtained, and the factor data comprise automobile factors and external environment factors; evaluating the driving state of the climbing electric vehicle based on the acquired factor data, and judging whether the current driving state of the electric vehicle meets the climbing requirement or not; and generating a corresponding optimization strategy according to a judgment result. According to the method for improving continuous climbing feed of the extended-range type electric vehicle, it is ensured that the electric vehicle can continuously provide enough power in the climbing process through real-time monitoring and adjustment, the climbing requirement is met, energy consumption of a non-key system is reduced and the strength of an energy recovery system is adjusted through adjustment of an optimization strategy, and the service life of the electric vehicle is prolonged. The service life of the battery is effectively prolonged, the feed problem is reduced, and the safety risk caused by insufficient power is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile power system optimization, and in particular to a method and system for improving continuous hill-climbing power feeding of an extended-range electric vehicle. Background Art

[0002] As a new energy vehicle type, extended-range electric vehicles have attracted much attention due to their low-carbon, environmentally friendly, energy-saving and high-efficiency characteristics. However, in actual use, especially under complex working conditions such as continuous climbing, the power feeding problem of extended-range electric vehicles has become one of the key factors restricting their performance. During continuous climbing, electric vehicles need to overcome the component of gravity along the slope, and are also affected by multiple resistances such as air resistance and friction between tires and the ground. These resistances will consume a lot of electrical energy, causing the battery power to drop rapidly. When the battery power is insufficient, the climbing performance of electric vehicles will drop significantly, and it may even be impossible to continue climbing. In addition, the power system state of the extended-range electric vehicle will also affect its climbing performance. For example, factors such as motor performance, battery performance, and transmission system efficiency are directly related to the amount of power that the electric vehicle can provide. If these factors are not reasonably optimized and adjusted, the electric vehicle may have insufficient power during the climbing process. At present, some solutions have been proposed to the problem of continuous climbing power feeding of extended-range electric vehicles. However, these methods often only optimize a specific factor without comprehensively considering the joint impact of multiple factors on climbing performance. Therefore, in practical applications, the effects of these methods are often limited and cannot fundamentally solve the power feeding problem of extended-range electric vehicles during continuous climbing. In this regard, we propose a method to improve the continuous climbing power feeding of extended-range electric vehicles. Summary of the invention

[0003] In order to solve the above technical problems, a method and system for improving the continuous climbing power feeding of an extended-range electric vehicle are provided. This technical solution solves the above problems.

[0004] In order to achieve the above purpose, the technical solution adopted by the present invention is: A method for improving continuous hill-climbing power feeding of an extended-range electric vehicle, comprising: Acquire real-time data of factors affecting the climbing of electric vehicles, wherein the factor data includes: vehicle-specific factors and external environmental factors; Based on the acquired factor data, the driving state of the electric vehicle that is climbing the slope is evaluated to determine whether the current driving state of the electric vehicle meets the climbing requirements; Generate corresponding optimization strategies based on the judgment results to adjust the engine output power and power system status of the electric vehicle; After the adjustment, the driving status of the electric vehicle is continuously monitored and the driving status of the electric vehicle is re-evaluated.

[0005] Preferably, obtaining real-time data of factors affecting the climbing of electric vehicles specifically includes: Vehicle-specific factor data includes motor performance data, battery performance data, vehicle weight data, and transmission system data; Motor performance data includes power, torque and motor efficiency; battery performance data includes battery capacity and battery discharge characteristics; transmission system data includes transmission ratio and reducer efficiency; External environmental factor data include: slope angle data, road condition data and climate condition data; Road condition data include road surface smoothness and road friction, and climate condition data include temperature and wind speed.

[0006] Preferably, the method for obtaining real-time data of factors affecting the climbing of electric vehicles is: Read the data of the motor controller through the on-board sensor to obtain the real-time output power and torque value of the motor; The power sensor is used to monitor the input power and output power of the motor to calculate the motor efficiency. The calculation formula of the motor efficiency is:

[0007] In the formula, represents the motor efficiency, Indicates the output power, Indicates input power; The remaining battery capacity is calculated by integrating the battery discharge current, where the remaining battery capacity calculation formula is:

[0008] In the formula, Indicates the remaining battery capacity. Indicates the initial battery capacity, represents the real-time discharge current, and t represents the time; The battery discharge characteristics are obtained by monitoring the battery voltage change, where the battery discharge characteristics are calculated as follows:

[0009] Where R represents the internal resistance of the battery. It represents the voltage difference of the battery before and after the load changes, and I represents the discharge current; The weight of the vehicle is measured directly by a load cell mounted on the vehicle chassis; The transmission ratio is calculated by measuring the ratio of the motor speed to the wheel speed, where the transmission ratio is calculated as:

[0010] In the formula, Indicates the motor speed, Indicates wheel speed; The efficiency is calculated by measuring the reducer input power and output power, where the calculation formula for the reducer efficiency is:

[0011] In the formula, represents the reducer efficiency, Indicates the reducer output power, Indicates the reducer input power; The slope angle is determined by measuring the angle between the vehicle and the horizontal plane through the tilt sensor; Use an acceleration sensor installed on the vehicle chassis to monitor the vibration of the vehicle during driving and determine the smoothness of the road surface; Use a friction coefficient sensor installed near the wheel to measure the friction coefficient between the tire and the road surface; Use temperature sensors to monitor ambient temperature and vehicle component temperatures; Use the wind speed sensor on the vehicle to obtain wind speed information at the current location.

[0012] Preferably, evaluating the driving state of the electric vehicle climbing a hill based on the acquired factor data specifically includes: Based on the acquired data of vehicle internal factors and external environmental factors, the data is classified, sorted and pre-processed; Determine the motor output torque, remaining battery power, the component of vehicle gravity along the slope, the friction between the tire and the ground, and the air resistance calculated from the wind speed as the main evaluation indicators; Calculate the component of the vehicle's gravity along the slope direction based on the slope angle and vehicle weight:

[0013] In the formula, represents the component of the vehicle's gravity along the slope, m represents the vehicle's mass, g represents the acceleration of gravity, Indicates the slope angle; The formula for calculating air resistance based on wind speed is:

[0014] in, Indicates the air resistance value. represents the air resistance coefficient, A represents the frontal area of ​​the vehicle, represents the air density, v represents the vehicle speed; Calculate the total power required to climb the hill:

[0015] In the formula, The total power required to climb the slope, represents the total number of resistance factors, represents the i-th resistance factor, represents the resistance value of the i-th resistance factor; The actual power that the electric vehicle can provide is determined by the output torque of the motor and the efficiency of the transmission system. The actual power provided is calculated by considering the transmission ratio and efficiency of the transmission system:

[0016] In the formula, Indicates the actual power provided, Indicates the torque output from the motor to the wheels. represents the transmission ratio and r represents the wheel radius.

[0017] Preferably, judging whether the current driving state of the electric vehicle meets the hill climbing requirement specifically includes: Based on the calculated actual power provided and the total power required for climbing, the actual power provided Total power required to climb a hill For comparison: like , it is considered that the current driving state of the electric vehicle meets the climbing requirements and no adjustment is made; like , it is considered that the current driving state of the electric vehicle does not meet the climbing requirements and an optimization strategy needs to be generated.

[0018] Preferably, generating an optimization strategy to adjust the engine output power and power system state of the electric vehicle specifically includes: Compare the calculated power required for climbing with the actual power provided to determine the main factors of power shortage; Calculate the power that the engine needs to output based on the current power demand and battery status; Adjust the engine output power through the electronic control unit of the engine control system; If the motor has insufficient torque at the current speed, adjust the transmission ratio of the transmission system so that the motor output torque can be amplified more at the wheels. Adjust the transmission ratio according to the motor's torque characteristic curve and climbing requirements. If the battery power is low, reduce the energy consumption of non-critical systems and adjust the strength of the energy recovery system to extend the battery life; Check tire pressure to make sure it is within the manufacturer's recommended range for increased grip.

[0019] Preferably, the engine output power calculation formula is:

[0020] In the formula, Indicates the engine output power, represents the transmission system efficiency, Indicates motor efficiency.

[0021] Preferably, the calculation formula of the adjusted transmission ratio is:

[0022] In the formula, Indicates the adjusted transmission ratio, represents the motor torque, Indicates the transmission ratio before adjustment.

[0023] Preferably, reducing the energy consumption of non-critical systems specifically includes: Reduce the power of the vehicle's air conditioning system and adjust the operating frequency of the air conditioning compressor according to the ambient temperature and the set temperature in the vehicle; Reduce the volume output of the vehicle's entertainment system or suspend some non-essential applications running in the background; The brightness of the vehicle lighting system is reduced, wherein the brightness of the lighting system is reduced, including: the automatic headlights maintain a lower brightness or turn off part of the auxiliary lights when there is sufficient light.

[0024] Preferably, adjusting the intensity of the energy recovery system specifically includes: When the battery charge is at a low level and the vehicle speed is high, the energy recovery intensity is increased so that the vehicle can recover more electrical energy during deceleration; When the vehicle needs greater power to climb a slope and the battery power is insufficient to support long-term high-intensity recovery, the energy recovery intensity is reduced to avoid affecting the vehicle's climbing performance; The energy recovery intensity is dynamically adjusted in real time according to the slope angle and vehicle driving status to balance battery power retention and vehicle power requirements.

[0025] Preferably, check the tire pressure and ensure it is within the manufacturer's recommended range to increase grip, including: If the tire pressure is lower than the manufacturer's recommended range, inflate it in time to ensure the contact area and friction between the tire and the ground; Regularly clean the debris in the tire tread to prevent it from affecting the friction between the tire and the ground; When road conditions permit, reduce speed to reduce tire wear and improve grip.

[0026] Compared with the prior art, the present invention has the following beneficial effects: The method for improving the continuous hill-climbing power feeding of an extended-range electric vehicle proposed in the present invention ensures that the electric vehicle can continuously provide sufficient power to meet the climbing requirements during the hill-climbing process through real-time monitoring and adjustment. By adjusting the optimization strategy, the energy consumption of non-critical systems is reduced and the strength of the energy recovery system is adjusted, thereby effectively extending the battery life and reducing the occurrence of power feeding problems. By accurately evaluating and dynamically adjusting the driving status of the electric vehicle, the safety risks caused by insufficient power are reduced, and driving safety is improved. Intelligent adjustments can be made according to actual road conditions and vehicle status to provide the driver with a more comfortable and convenient driving experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A flow chart of a method for improving continuous hill-climbing power feeding of an extended-range electric vehicle. DETAILED DESCRIPTION

[0028] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0029] Reference Figure 1 As shown, a method for improving continuous hill-climbing power feeding of an extended-range electric vehicle comprises: Through advanced sensor technology and data acquisition systems, comprehensive real-time data on various factors that affect electric vehicles' climbing are obtained. These factors are mainly divided into two aspects. On the one hand, there are vehicle factors, including the vehicle's current power, battery performance status, motor power, vehicle weight, and transmission system efficiency. On the other hand, there are external environmental factors, covering the slope of the climbing section, road conditions, air resistance, and temperature.

[0030] Based on the rich and detailed factor data obtained, an algorithm is used to conduct an in-depth evaluation of the driving state of an electric vehicle that is climbing a slope. During the evaluation process, the vehicle's own power performance and the impact of the external environment on the vehicle's driving are comprehensively considered to determine whether the current driving state of the electric vehicle can meet the requirements of climbing. The current vehicle's output power is compared with the power required for climbing, and it is analyzed whether the battery power can support the vehicle's continuous climbing.

[0031] Generate a corresponding optimization strategy based on the above judgment results. If the judgment results show that the vehicle's driving state cannot meet the climbing requirements, then it is necessary to adjust the engine output power of the electric vehicle and increase the engine's power output to increase the vehicle's power. At the same time, adjust the power system state, optimize the motor's working mode, and adjust the battery's discharge strategy to ensure that the vehicle has sufficient power during the climbing process.

[0032] After the adjustment, the driving status of the electric vehicle is continuously monitored, and the sensors and data acquisition system are used again to obtain the real-time data of the vehicle, including vehicle speed, battery power changes, and engine operating status. The driving status of the electric vehicle is re-evaluated based on these data to ensure the effectiveness of the optimization strategy and provide a basis for further adjustments. If it is found that the adjusted driving status still cannot meet the climbing requirements, the strategy will continue to be optimized until the vehicle can climb the slope smoothly.

[0033] Obtaining real-time data on factors affecting electric vehicle climbing includes: 1. Vehicle’s own factor data The vehicle’s own factor data covers multiple aspects and has an important impact on the climbing performance of electric vehicles.

[0034] Motor performance data: Power: The power of a motor determines its output power. A high-power motor can provide stronger driving force when climbing a slope, ensuring that the vehicle can overcome gravity and resistance and climb the slope smoothly. Real-time power data can help the system accurately evaluate the current power output capacity of the motor.

[0035] Torque: Torque is the force that causes an object to rotate. Sufficient torque is crucial for electric vehicles to climb hills, providing strong traction when the vehicle starts and travels at low speeds. Real-time monitoring of torque can help understand the vehicle's ability to accelerate instantly and overcome resistance when climbing a hill.

[0036] Motor efficiency: Motor efficiency reflects the motor's ability to convert electrical energy into mechanical energy. High-efficiency motors can output more power with the same electrical energy input, improving the vehicle's climbing performance. At the same time, motor efficiency is affected by temperature and load. Real-time acquisition of motor efficiency data can help the system optimize the motor's working state and improve energy efficiency.

[0037] Battery performance data: Battery capacity: Battery capacity determines the total amount of energy stored in an electric vehicle. When climbing a slope, the vehicle consumes a lot of energy to drive the motor, and the battery capacity directly affects the vehicle's range and climbing ability. Real-time acquisition of battery capacity data can help the system evaluate the vehicle's energy reserves when climbing a slope, so as to adjust the power output strategy in a timely manner.

[0038] Battery discharge characteristics: Battery discharge characteristics include discharge curve and discharge rate. Different discharge characteristics affect the output voltage and current of the battery under different loads, which in turn affects the motor power output. Real-time monitoring of battery discharge characteristics can help the system optimize battery usage, improve discharge efficiency, and extend service life.

[0039] Vehicle weight data: Vehicle weight is one of the important factors affecting gradeability. Heavier vehicles require more power to climb grades and consume more electricity. Real-time acquisition of vehicle weight data can help the system accurately assess the power requirements of the vehicle when climbing grades, so as to adjust the engine output power and power system status.

[0040] Drivetrain data: Gear ratio: The gear ratio is the ratio of the input shaft speed to the output shaft speed. A reasonable gear ratio allows the motor to perform at its best under different vehicle speeds and loads. When climbing a slope, a larger gear ratio can provide greater torque output, helping the vehicle overcome gravity and resistance. Real-time acquisition of gear ratio data can help the system adjust the drive system according to the current driving state and improve climbing performance.

[0041] Reducer efficiency: The reducer is an important part of the transmission system, and its efficiency directly affects the motor output power and vehicle climbing performance. An efficient reducer can reduce energy loss and increase motor output power. Real-time acquisition of reducer efficiency data can help the system evaluate the working status of the transmission system so that maintenance and adjustments can be made in a timely manner.

[0042] 2. External Environmental Factors Data External environmental factor data has a significant impact on the climbing performance of electric vehicles.

[0043] Slope angle data: Slope angle is one of the direct factors affecting the climbing performance of electric vehicles. A larger slope angle means that the vehicle needs to overcome a greater gravity component, which requires greater power output. Real-time acquisition of slope angle data can help the system accurately assess the power demand of the vehicle when climbing a slope, so as to adjust the engine output power and power system status.

[0044] Road condition data: Road surface smoothness: Road surface smoothness affects vehicle driving stability and power transmission efficiency. Uneven roads increase vehicle vibration and resistance, and reduce climbing performance. Real-time acquisition of road surface smoothness data can help the system adjust the vehicle suspension system and power output strategy to improve driving stability and climbing performance.

[0045] Road friction: Road friction is an important guarantee for vehicle driving, directly affecting the vehicle's traction and braking performance. When climbing a slope, sufficient road friction can ensure that the vehicle does not slip and improve climbing performance. Real-time acquisition of road friction data can help the system adjust the vehicle's power output and braking strategy to improve driving safety and climbing performance.

[0046] Climate conditions data: Temperature: Temperature affects battery performance and motor efficiency. At high temperatures, battery capacity decreases, motor efficiency decreases, and vehicle climbing performance is affected. At low temperatures, battery discharge capacity weakens, and motor starting performance is affected. Real-time acquisition of temperature data can help the system adjust battery usage and motor operating parameters to improve climbing performance.

[0047] Wind speed: Wind speed affects the vehicle's air resistance, which in turn affects power output and energy consumption. When driving against the wind, the vehicle needs to overcome greater air resistance, which requires greater power output. Real-time wind speed data can help the system adjust the vehicle's power output strategy to improve climbing performance and energy efficiency.

[0048] The method for obtaining real-time data on factors affecting electric vehicle climbing is: The data of the motor controller is read through the on-board sensor to obtain the real-time output power and torque value of the motor. The output power and torque value of the motor are crucial to evaluate the power output capacity of the vehicle during climbing; The power sensor is used to monitor the input power and output power of the motor, and the motor efficiency is calculated. The motor efficiency reflects the motor's ability to convert electrical energy into mechanical energy, and has an important impact on the vehicle's climbing performance. The calculation formula for the motor efficiency is:

[0049] In the formula, represents the motor efficiency, Indicates the output power, Indicates input power; The remaining battery capacity is calculated by integrating the battery discharge current. The battery capacity determines the total amount of electric energy that the electric vehicle can store. During the climbing process, the remaining battery capacity directly affects the vehicle's range and climbing ability. The formula for calculating the remaining battery capacity is:

[0050] In the formula, Indicates the remaining battery capacity. Indicates the initial battery capacity, represents the real-time discharge current, and t represents the time; The battery discharge characteristics are obtained by monitoring the battery voltage changes. The battery discharge characteristics include discharge curve and discharge rate. Different discharge characteristics will affect the output voltage and current of the battery under different loads, and thus affect the power output of the motor. The calculation formula of the battery discharge characteristics is:

[0051] Where R represents the internal resistance of the battery. It represents the voltage difference of the battery before and after the load changes, and I represents the discharge current; The weight of the vehicle is directly measured by the load cell installed on the vehicle chassis. The weight of the vehicle is one of the important factors affecting the climbing performance. A heavier vehicle requires more power to climb the slope and also consumes more electricity. The transmission ratio is calculated by measuring the ratio of the motor speed to the wheel speed. The transmission ratio is the ratio of the input shaft speed to the output shaft speed. A reasonable transmission ratio can enable the motor to perform at its best under different vehicle speeds and loads. During climbing, a larger transmission ratio can provide greater torque output to help the vehicle overcome gravity and resistance. The transmission ratio calculation formula is:

[0052] In the formula, Indicates the motor speed, Indicates wheel speed; The efficiency is calculated by measuring the input power and output power of the reducer. The reducer is an important part of the transmission system. Its efficiency directly affects the output power of the motor and the climbing performance of the vehicle. An efficient reducer can reduce energy loss and increase the output power of the motor. The calculation formula for the reducer efficiency is:

[0053] In the formula, represents the reducer efficiency, Indicates the reducer output power, Indicates the reducer input power; The slope angle is determined by measuring the angle between the vehicle and the horizontal plane through the tilt sensor. The slope angle is one of the most direct factors affecting the climbing performance of electric vehicles. A larger slope angle means that the vehicle needs to overcome a greater gravity component, thus requiring greater power output.

[0054] Acceleration sensors are installed on the chassis of the vehicle to monitor the vibration of the vehicle during driving, so as to judge the smoothness of the road surface. The smoothness of the road surface will affect the driving stability and power transmission efficiency of the vehicle. Uneven roads will increase the vibration and resistance of the vehicle and reduce the climbing performance of the vehicle.

[0055] The friction coefficient sensor is installed near the wheel to measure the friction coefficient between the tire and the road. Road friction is an important guarantee for vehicle driving and directly affects the vehicle's traction and braking performance. During the climbing process, sufficient road friction can ensure that the vehicle will not slip and improve the vehicle's climbing performance.

[0056] Use temperature sensors to monitor ambient temperature and vehicle component temperatures. Temperature affects battery performance and motor efficiency. In high temperature environments, battery capacity decreases and motor efficiency decreases, which affects the vehicle's climbing performance. In low temperature environments, the battery's discharge capacity weakens and the motor's starting performance is affected.

[0057] Use the wind speed sensor on the vehicle to obtain wind speed information at the current location. Wind speed affects the vehicle's air resistance, which in turn affects the vehicle's power output and energy consumption. When driving against the wind, the vehicle needs to overcome greater air resistance, which requires greater power output.

[0058] The use process of the present invention is: obtaining climbing factor data, evaluating the climbing driving state according to the factor data, judging whether the climbing demand is met, generating an optimization strategy according to the judgment result, adjusting the engine output power and the power system state, and continuously monitoring and re-evaluating the driving state.

[0059] To sum up, the advantages of the present invention are: through real-time monitoring and adjustment, it is ensured that the climbing power is sufficient to meet the needs, the optimization strategy extends the battery life and reduces power feeding, accurate evaluation and dynamic adjustment reduce safety risks and improve safety, and intelligent adaptation to road conditions and vehicle status improves driving experience.

[0060] In another embodiment of the present application, a system for improving the continuous climbing power feeding of an extended-range electric vehicle is provided, comprising a data acquisition module, an evaluation module, a regulation module and a re-evaluation module; A data acquisition module is used to obtain real-time data of factors that affect the climbing of the electric vehicle, wherein the factor data includes: vehicle factors and external environmental factors; An evaluation module evaluates the driving state of the electric vehicle climbing a slope based on the acquired factor data to determine whether the current driving state of the electric vehicle meets the climbing requirement; The adjustment module generates a corresponding optimization strategy based on the judgment result to adjust the engine output power and power system state of the electric vehicle; The re-evaluation module continuously monitors the driving state of the electric vehicle after adjustment, and re-evaluates the driving state of the electric vehicle, and cyclically determines whether the current driving state of the electric vehicle meets the climbing requirements based on the re-evaluation results.

[0061] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for improving the continuous climbing power feeding of an extended-range electric vehicle, characterized in that: include: Acquire real-time data of factors that affect the electric vehicle's climbing, the factor data including: vehicle-specific factors and external environmental factors; Based on the acquired factor data, the driving state of the electric vehicle that is climbing the slope is evaluated to determine whether the current driving state of the electric vehicle meets the climbing requirements; Generate corresponding optimization strategies based on the judgment results to adjust the engine output power and power system status of the electric vehicle; After the adjustment, the driving state of the electric vehicle is continuously monitored and re-evaluated, and whether the current driving state of the electric vehicle meets the climbing demand is cyclically judged based on the re-evaluation result.

2. A method for improving continuous hill-climbing power feeding of an extended-range electric vehicle according to claim 1, characterized in that: Obtaining real-time data on factors that affect electric vehicle climbing specifically includes: Vehicle-specific factor data includes motor performance data, battery performance data, vehicle weight data, and transmission system data; Motor performance data includes power, torque and motor efficiency; battery performance data includes battery capacity and battery discharge characteristics; transmission system data includes transmission ratio and reducer efficiency; External environmental factor data include: slope angle data, road condition data and climate condition data; Road condition data include road surface smoothness and road friction, and climate condition data include temperature and wind speed.

3. A method for improving continuous hill climbing power feeding of an extended-range electric vehicle according to claim 2, characterized in that: The method for obtaining real-time data on factors affecting electric vehicle climbing is: Read the data of the motor controller through the on-board sensor to obtain the real-time output power and torque value of the motor; The power sensor is used to monitor the input power and output power of the motor to calculate the motor efficiency. The calculation formula of the motor efficiency is: In the formula, represents the motor efficiency, Indicates the output power, Indicates input power; The remaining battery capacity is calculated by integrating the battery discharge current, where the remaining battery capacity calculation formula is: In the formula, Indicates the remaining battery capacity. Indicates the initial battery capacity, represents the real-time discharge current, and t represents the time; The battery discharge characteristics are obtained by monitoring the battery voltage change, where the battery discharge characteristics are calculated as follows: Where R represents the internal resistance of the battery. It represents the voltage difference of the battery before and after the load changes, and I represents the discharge current; The weight of the vehicle is measured directly by a load cell mounted on the vehicle chassis; The transmission ratio is calculated by measuring the ratio of the motor speed to the wheel speed, where the transmission ratio is calculated as: In the formula, Indicates the motor speed, Indicates wheel speed; The efficiency is calculated by measuring the reducer input power and output power, where the calculation formula for the reducer efficiency is: In the formula, represents the reducer efficiency, Indicates the reducer output power, Indicates the reducer input power; The slope angle is determined by measuring the angle between the vehicle and the horizontal plane through the tilt sensor; Use an acceleration sensor installed on the vehicle chassis to monitor the vibration of the vehicle during driving and determine the smoothness of the road surface; Use a friction coefficient sensor installed near the wheel to measure the friction coefficient between the tire and the road surface; Use temperature sensors to monitor ambient temperature and vehicle component temperatures; Use the wind speed sensor on the vehicle to obtain wind speed information at the current location.

4. A method for improving continuous hill-climbing power feeding of an extended-range electric vehicle according to claim 1, characterized in that: The evaluation of the driving status of the electric vehicle on a hill climb based on the acquired factor data specifically includes: Based on the acquired data of vehicle internal factors and external environmental factors, the data is classified, sorted and pre-processed; Determine the motor output torque, remaining battery power, the component of vehicle gravity along the slope, the friction between the tire and the ground, and the air resistance calculated from the wind speed as the main evaluation indicators; Calculate the component of the vehicle's gravity along the slope direction based on the slope angle and vehicle weight: In the formula, represents the component of the vehicle's gravity along the slope, m represents the vehicle's mass, g represents the acceleration of gravity, Indicates the slope angle; The formula for calculating air resistance based on wind speed is: in, Indicates the air resistance value. represents the air resistance coefficient, A represents the frontal area of ​​the vehicle, represents the air density, v represents the vehicle speed; Calculate the total power required to climb the hill: In the formula, The total power required to climb the slope, represents the total number of resistance factors, represents the i-th resistance factor, represents the resistance value of the i-th resistance factor; The actual power that the electric vehicle can provide is determined by the output torque of the motor and the efficiency of the transmission system. The actual power provided is calculated by considering the transmission ratio and efficiency of the transmission system: In the formula, Indicates the actual power provided, Indicates the torque output from the motor to the wheels. represents the transmission ratio and r represents the wheel radius.

5. A method for improving continuous hill-climbing power feeding of an extended-range electric vehicle according to claim 1, characterized in that: Judging whether the current driving state of the electric vehicle meets the climbing requirement specifically includes: Based on the calculated actual power provided and the total power required for climbing, the actual power provided Total power required to climb a hill For comparison: like , it is considered that the current driving state of the electric vehicle meets the climbing requirements and no adjustment is made; like , it is considered that the current driving state of the electric vehicle does not meet the climbing requirements and an optimization strategy needs to be generated.

6. A method for improving continuous hill-climbing power feeding of an extended-range electric vehicle according to claim 1, characterized in that: Generate optimization strategies to adjust the engine output power and powertrain status of electric vehicles, including: Compare the calculated power required for climbing with the actual power provided to determine the main factors of power shortage; Calculate the power that the engine needs to output based on the current power demand and battery status; Adjust the engine output power through the electronic control unit of the engine control system; If the motor has insufficient torque at the current speed, adjust the transmission ratio of the transmission system so that the motor output torque can be amplified more at the wheels. Adjust the transmission ratio according to the motor's torque characteristic curve and climbing requirements. If the battery power is low, reduce the energy consumption of non-critical systems and adjust the strength of the energy recovery system to extend the battery life; Check tire pressure to make sure it is within the manufacturer's recommended range for increased grip.

7. A method for improving continuous hill climbing power feeding of an extended-range electric vehicle according to claim 6, characterized in that: The formula for calculating engine output power is: In the formula, Indicates the engine output power, represents the transmission system efficiency, Indicates motor efficiency.

8. A method for improving continuous hill-climbing power feeding of an extended-range electric vehicle according to claim 6, characterized in that: The calculation formula of the adjusted transmission ratio is: In the formula, Indicates the adjusted transmission ratio, represents the motor torque, Indicates the transmission ratio before adjustment.

9. A method for improving continuous hill-climbing power feeding of an extended-range electric vehicle according to claim 6, characterized in that: Reducing energy consumption in non-critical systems includes: Reduce the power of the vehicle's air conditioning system and adjust the operating frequency of the air conditioning compressor according to the ambient temperature and the set temperature in the vehicle; Reduce the volume output of the vehicle's entertainment system or suspend some non-essential applications running in the background; The brightness of the vehicle lighting system is reduced, wherein the brightness of the lighting system is reduced, including: the automatic headlights maintain a lower brightness or turn off part of the auxiliary lights when there is sufficient light.

10. A method for improving continuous hill-climbing power feeding of an extended-range electric vehicle according to claim 6, characterized in that: Adjusting the strength of the energy recovery system specifically includes: When the battery charge is at a low level and the vehicle speed is high, the energy recovery intensity is increased so that the vehicle can recover more electrical energy during deceleration; When the vehicle needs greater power to climb a slope and the battery power is insufficient to support long-term high-intensity recovery, the energy recovery intensity is reduced to avoid affecting the vehicle's climbing performance; The energy recovery intensity is dynamically adjusted in real time according to the slope angle and vehicle driving status to balance battery power retention and vehicle power requirements.

11. A method for improving continuous hill-climbing power feeding of an extended-range electric vehicle according to claim 6, characterized in that: Check tire pressure and make sure it is within the manufacturer's recommended range to increase grip: If the tire pressure is lower than the manufacturer's recommended range, inflate it in time to ensure the contact area and friction between the tire and the ground; Regularly clean the debris in the tire tread to prevent it from affecting the friction between the tire and the ground; When road conditions permit, reduce speed to reduce tire wear and improve grip.

12. A system for improving the continuous climbing power supply of an extended-range electric vehicle, characterized in that: It includes data collection module, evaluation module, adjustment module and re-evaluation module; A data acquisition module is used to obtain real-time data of factors that affect the climbing of the electric vehicle, wherein the factor data includes: vehicle factors and external environmental factors; An evaluation module evaluates the driving state of the electric vehicle climbing a slope based on the acquired factor data to determine whether the current driving state of the electric vehicle meets the climbing requirement; The adjustment module generates a corresponding optimization strategy based on the judgment result to adjust the engine output power and power system state of the electric vehicle; The re-evaluation module continuously monitors the driving state of the electric vehicle after adjustment, and re-evaluates the driving state of the electric vehicle, and cyclically determines whether the current driving state of the electric vehicle meets the climbing requirements based on the re-evaluation results.

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