An energy recovery method for a pure electric heavy truck

Abstract

The present application relates to a kind of energy recovery methods of pure electric heavy truck, solve the problem that ordinary energy feedback method can cause driving feeling is poor, and the energy recovery efficiency is not high.First, real-time monitoring electric vehicle information parameters, and processing and analysis;Second, according to the inertial energy and braking energy generated in the process of electric vehicle driving, compared with the optimal energy recovery curve obtained in the test process, the energy recovery intensity and time are linearly optimized;Third, through real-time monitoring of vehicle battery state and vehicle speed, real-time dynamic adjustment energy recovery strategy;Fourth, while optimizing energy recovery strategy, ensure vehicle safety and ride comfort;Fifth, the converted inertial energy and braking energy is stored in vehicle battery, and it is used to drive vehicle travel, thereby reducing the energy consumption and emission of vehicle.The present application can improve energy utilization efficiency, prolong battery life, protect environment and reduce pollution, improve driving comfort.

Description

Technical Field

[0001] This invention belongs to the field of new energy vehicles and relates to an energy recovery method for pure electric heavy trucks.

[0002] Background Technology Solution

[0003] In recent years, with increasing environmental awareness and a growing energy crisis, people's demand for and reliance on renewable energy have been increasing. Electric vehicles, as a new type of transportation, are characterized by being pollution-free, quiet, and energy-efficient, and have received widespread attention and application globally. However, these vehicles are limited by battery range, and conventional energy recovery methods can lead to poor driving experience and insufficient energy recovery efficiency. Therefore, energy recovery strategy control has become one of the important issues in the field of electric vehicle technology research. Summary of the Invention

[0004] The purpose of this invention is to improve the energy utilization efficiency and driving range of electric vehicles by recovering and utilizing the inertial energy and braking energy generated during the driving process, converting mechanical energy into electrical energy and storing it in the battery.

[0005] This invention is achieved through the following technical solutions:

[0006] A method for energy recovery in a pure electric heavy-duty truck includes the following steps:

[0007] The first step is to monitor the electric vehicle's speed, acceleration, braking status, vehicle load, and road condition information parameters in real time, and then process and analyze this data to obtain the vehicle's current energy consumption.

[0008] The second step involves comparing and calibrating the energy recovery curve obtained during the test with the inertial energy and braking energy generated during the electric vehicle's operation. This process linearly optimizes the energy recovery intensity and time, and performs coefficient integration based on vehicle status and road conditions. Ultimately, the recovered energy is converted into electrical energy and stored in the battery.

[0009] The third step is to dynamically adjust the energy recovery strategy in real time by monitoring the vehicle's battery status and speed to ensure that the energy recovery efficiency is maximized and does not affect the normal driving of the vehicle.

[0010] The fourth step involves optimizing the energy recovery strategy while ensuring vehicle safety and ride comfort, taking into account different road conditions and driving modes. Specifically, based on the vehicle's current weight and road conditions, different energy recovery strategies are selected. When the vehicle enters energy recovery mode, the vehicle's slope and load sensors collect and send the vehicle's weight and slope information to the vehicle controller. The vehicle controller categorizes the current road conditions as downhill, flat, or uphill. Different energy recovery strategies are then implemented based on these road conditions and the vehicle's weight to improve the energy efficiency and driving range of electric vehicles. This invention utilizes real-time data acquisition and processing to dynamically select the optimal energy recovery level.

[0011] First, the energy feedback torque is graded as follows: 0: energy feedback torque is zero, energy feedback is off; 1: energy feedback torque is between 0 and 2; 2: energy feedback torque is between 1 and 3; 3: energy feedback torque is between 2 and 4; 4: energy feedback is at its maximum value, with the greatest energy feedback force.

[0012] For downhill sections: When the vehicle is heavily loaded, the energy feedback torque is set to level 4, which is the highest driving efficiency; when the vehicle is lightly loaded, the energy feedback torque is set to level 3, which is the highest driving efficiency.

[0013] For smooth road sections: the energy feedback torque is set to level 2, which is the highest vehicle driving efficiency; when the vehicle load is light, the energy feedback torque is set to level 1, which is the highest vehicle driving efficiency.

[0014] For uphill sections: regardless of vehicle load, the energy feedback torque is set to 0, which is the state where the vehicle's driving efficiency is the highest.

[0015] The fifth step involves storing the converted inertial and braking energy in the vehicle's battery and using it to drive the vehicle, thereby reducing the vehicle's energy consumption and emissions.

[0016] The beneficial effects of this invention are:

[0017] 1. Improved energy efficiency: During the operation of an electric vehicle, the vehicle's inertial motion generates a large amount of mechanical energy, which traditional vehicles would waste. Energy recovery technology can convert this mechanical energy into electrical energy and store it in the battery, thus significantly improving the energy efficiency of electric vehicles.

[0018] 2. Extend battery life: Energy recovery technology can extend battery life and reduce battery waste emissions by precisely controlling the charging and discharging state of the battery.

[0019] 3. Protect the environment and reduce pollution: Electric vehicle energy recovery technology can reduce power system losses and emissions, thereby reducing environmental pollution and the consumption of natural resources.

[0020] 4. Improved driving comfort: Energy recovery technology can achieve braking function through the electric vehicle motor braking, reducing the noise and bumps generated by traditional brakes and improving the driving comfort of the car. Attached Figure Description

[0021] Figure 1 This is a diagram showing the energy feedback level selection. Detailed Implementation

[0022] The electric vehicle energy recovery strategy control method provided by this invention mainly includes the following steps:

[0023] The first step is to monitor parameters such as the electric vehicle's speed, acceleration, braking status, vehicle load, and road conditions in real time, and then process and analyze this data to obtain information on the vehicle's current energy consumption.

[0024] The second step involves comparing and calibrating the energy recovery curve obtained during the test with the inertial energy and braking energy generated during the electric vehicle's operation. This process linearly optimizes the energy recovery intensity and time, and performs coefficient integration based on vehicle status and road conditions. Ultimately, the recovered energy is converted into electrical energy and stored in the battery.

[0025] The third step is to dynamically adjust the energy recovery strategy in real time by monitoring the vehicle's battery status and speed to ensure that the energy recovery efficiency is maximized and does not affect the normal driving of the vehicle.

[0026] The fourth step involves optimizing the energy recovery strategy while considering different road conditions and driving modes, ensuring vehicle safety and passenger comfort. Specific implementation: Based on the vehicle's current weight and road conditions, select the appropriate energy recovery strategy. Figure 1 The energy recovery strategy involves the vehicle's slope and load sensors collecting and sending information about the vehicle's mass and slope to the vehicle controller when the vehicle enters energy recovery mode. The vehicle controller then categorizes the current road conditions as downhill, flat, or uphill. Based on these road conditions and the vehicle's weight (including the total load), different energy recovery strategies are adopted to improve the energy efficiency and driving range of electric vehicles. This method utilizes real-time data acquisition and processing to dynamically select the optimal energy recovery level.

[0027] First, the energy feedback torque is graded as follows: 0: energy feedback torque is zero, energy feedback is off; 1: energy feedback torque is between 0 and 2; 2: energy feedback torque is between 1 and 3; 3: energy feedback torque is between 2 and 4; 4: energy feedback is at its maximum value, with the greatest energy feedback force.

[0028] For downhill sections: When the vehicle is heavily loaded, the energy feedback torque is set to level 4, which is the highest driving efficiency; when the vehicle is lightly loaded, the energy feedback torque is set to level 3, which is the highest driving efficiency.

[0029] For smooth road sections: the energy feedback torque is set to level 2, which is the highest vehicle driving efficiency; when the vehicle load is light, the energy feedback torque is set to level 1, which is the highest vehicle driving efficiency.

[0030] For uphill sections: regardless of vehicle load, the energy feedback torque is set to 0, which is the state where the vehicle's driving efficiency is the highest.

[0031] The fifth step involves storing the converted inertial and braking energy in the vehicle's battery and using it to drive the vehicle, thereby reducing the vehicle's energy consumption and emissions.

[0032] This invention has the following characteristics:

[0033] 1. Simplified and refined control strategy: Traditional electric vehicle energy recovery uses a control method based on static information such as turn signals or brake pedals. This electric vehicle energy recovery control method introduces more levels of condition judgment, which can adjust the energy recovery strategy in real time.

[0034] 2. Multi-mode Energy Recovery: Traditional electric vehicle energy recovery systems can only achieve a single mode of energy recovery, such as regenerative braking. This energy recovery control method, however, features multiple energy recovery modes, including inertial energy recovery, regenerative braking, and rapid acceleration energy recovery. These modes can intelligently switch according to the vehicle's operating status, thereby maximizing the utilization of mechanical energy and improving energy efficiency.

[0035] 3. Energy Management System Optimization: This energy recovery control method not only focuses on energy recovery but also involves energy management and optimization. By utilizing road condition information and vehicle load information, the optimal strategy is selected in real time to achieve the dual goals of optimizing vehicle performance and extending battery life.

[0036] 4. Signal processing technology: This energy recovery control method can employ a variety of advanced signal processing technologies, such as digital filtering, adaptive control, neural networks, and deep learning, to improve the accuracy and stability of sensor-collected data and to achieve intelligent identification and prediction of vehicle driving status.

[0037] This invention's method is not only applicable to a single vehicle model, but can also be customized and optimized according to vehicle characteristics and the needs of different usage scenarios. It provides crucial assurance for the reliability and range performance of electric vehicles, while also promoting environmentally friendly and energy-saving social development.

Claims

1. An energy recovery method for a pure electric heavy-duty truck, characterized by: Includes the following steps: The first step is to monitor the electric vehicle's speed, acceleration, braking status, vehicle load, and road condition information parameters in real time, and then process and analyze this data to obtain the vehicle's current energy consumption. The second step involves comparing and calibrating the energy recovery curve obtained during the test with the inertial energy and braking energy generated during the electric vehicle's operation. This process linearly optimizes the energy recovery intensity and time, and performs coefficient integration based on vehicle status and road conditions. Ultimately, the recovered energy is converted into electrical energy and stored in the battery. The third step is to dynamically adjust the energy recovery strategy in real time by monitoring the vehicle's battery status and speed to ensure that the energy recovery efficiency is maximized and does not affect the normal driving of the vehicle. The fourth step is to optimize the energy recovery strategy while taking into account different road conditions and driving modes, so as to ensure vehicle safety and passenger comfort. Specific implementation method: Based on the vehicle's current weight and road conditions, different energy recovery strategies are selected. When the vehicle enters energy recovery mode, the slope sensor and load sensor on the vehicle collect the vehicle's weight and slope information and send it to the vehicle controller. The vehicle controller classifies the current road conditions into downhill, flat, and uphill sections. Based on the above road sections and the vehicle weight, different energy recovery strategies are adopted to improve the energy utilization efficiency and driving range of electric vehicles. First, the energy recovery torque is graded according to the vehicle's gear position: 0 gear: energy recovery torque is zero, energy recovery is off; Level 1: Energy feedback torque is between level 0 and level 2; Level 2: The energy feedback torque is between Level 1 and Level 3; 3rd gear: Energy feedback torque is between 2nd and 4th gear; 4th gear: Energy feedback is at its maximum value, with the strongest energy feedback force. For downhill sections: When the vehicle is heavily loaded, the energy feedback torque is set to level 4, which is when the vehicle has the highest driving efficiency. When the vehicle load is light, the energy recovery torque is set to level 3, which is when the vehicle has the highest driving efficiency. For smooth roads: set the energy feedback torque to level 2, in which the vehicle has the highest driving efficiency; When the vehicle load is light, the energy recovery torque is set to level 1, which is when the vehicle has the highest driving efficiency. For uphill sections: regardless of vehicle load, the energy feedback torque is set to 0, which is the state where the vehicle's driving efficiency is the highest. The fifth step involves storing the converted inertial and braking energy in the vehicle's battery and using it to drive the vehicle, thereby reducing the vehicle's energy consumption and emissions.

2. The energy recovery method for a pure electric heavy-duty truck according to claim 1, Its characteristic is that, in the fourth step, the different energy recovery strategies are: First, the energy feedback torque is graded into different levels: Level 0: Energy feedback torque is zero, and energy feedback is off; Gear 1: Energy feedback torque is between gear 0 and gear 2; Gear 2: Energy feedback torque is between gear 1 and gear 3; 3rd gear: Energy feedback torque is between 2nd and 4th gear; 4th gear: Energy feedback is at its maximum value, with the strongest energy feedback force. For downhill sections: When the vehicle is heavily loaded, the energy feedback torque is set to level 4, which is when the vehicle has the highest driving efficiency. When the vehicle load is light, the energy recovery torque is set to level 3, which is when the vehicle has the highest driving efficiency. For smooth roads: set the energy feedback torque to level 2, in which the vehicle has the highest driving efficiency; When the vehicle load is light, the energy recovery torque is set to level 1, which is when the vehicle has the highest driving efficiency. For uphill sections: regardless of vehicle load, the energy feedback torque is set to 0, which is the state where the vehicle's driving efficiency is the highest.

3. The energy recovery method for a pure electric heavy-duty truck according to claim 2, characterized in that: By using real-time data acquisition and processing, the optimal energy recovery level can be dynamically selected.

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