Intelligent driving and energy optimizing system for parallel hybrid heavy truck

Abstract

The invention provides an intelligent driving and energy optimizing system for a parallel hybrid heavy truck, which relates to the field of hybrid heavy trucks and comprises a power battery, a motor, a gas engine, a controller and a sensor. The sensor collects vehicle operation parameters in real time, and the controller controls the working state of each component according to the parameters. The system has various working modes of pure electric starting, engine intervention control and the like, and has the advantages that the problem that an existing hybrid heavy truck is poor in power coordination is solved through precise cooperation of the sensor and the controller, the energy utilization efficiency is improved through the multiple working modes, pure electric starting, reasonable engine intervention and a battery charging strategy are achieved, and the energy utilization efficiency is improved. Energy waste is avoided, energy consumption is reduced, driving modes are intelligently switched, the system adapts to different road conditions and loads, it is guaranteed that power is strong, kinetic energy is recovered by a motor when an energy recovery system goes down a slope, the kinetic energy is assisted by a gas engine when the kinetic energy is insufficient, the energy utilization rate is greatly increased, the driving mileage is prolonged, and energy conservation and consumption reduction are achieved.

Description

Technical Field

[0001] The present invention relates to the field of hybrid heavy-duty trucks, and in particular to an intelligent drive and energy optimization system for a parallel hybrid heavy-duty truck. Background Art

[0002] With increasingly stringent environmental protection requirements and the continuous pursuit of transportation efficiency, the power system of heavy-duty trucks faces huge challenges. Traditional gas heavy-duty trucks have high gas consumption, and when they frequently start and stop in congested urban roads, energy is seriously wasted; although pure electric heavy-duty trucks are environmentally friendly, they have problems such as limited cruising range and insufficient charging facilities. Existing hybrid heavy-duty truck technology has defects in power coordination and energy management, and cannot give full play to the advantages of engines and motors, resulting in high energy consumption and power performance that needs to be improved, making it difficult to meet the use needs under complex working conditions. Summary of the invention

[0003] The purpose of the present invention is to provide a parallel hybrid heavy-duty truck intelligent drive and energy optimization system, which solves the problems of poor power coordination, low energy utilization efficiency, and limited cruising range in the existing hybrid heavy-duty truck technology, and achieves multiple goals such as energy saving and consumption reduction, strong power, and long cruising range.

[0004] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0005] A parallel hybrid heavy-duty truck intelligent drive and energy optimization system includes a power battery, a motor, a gas engine, a controller and a sensor. The sensor is used to collect the operating parameters of the vehicle in real time. The controller controls the working state of the power battery, the motor and the gas engine according to the collected operating parameters. The working mode of the system is as follows:

[0006] Pure electric start and engine intervention control: When the vehicle starts, the power battery drives the vehicle through the motor. When the remaining power of the power battery is less than 20%, the power battery sends a signal to the gas engine, and the gas engine delays 8-10 seconds to start at idle speed, and then works in full.

[0007] Engine operation and battery charging strategy: After the gas engine is fully operational, if the battery level of the power battery is detected to be below 15%, a part of the power of the gas engine is used for vehicle driving, and the other part is used to charge the power battery and supply power to the electric devices on the vehicle; when the battery level of the power battery is charged to 25%-30%, the gas engine stops charging; in the pure gasoline driving state, when the vehicle is in the 12th gear and the vehicle speed reaches 80-85 km / h, and the engine speed of the gas engine exceeds the economic speed and the vehicle is detected to be unloaded, the motor starts to charge the power battery; when the battery level of the power battery is charged to more than 85%, the motor operates fully, the gas engine delays shutdown for 8-10 seconds, and the vehicle switches to pure electric driving; when the battery level of the power battery is less than 20%, the gas engine starts to operate again; when driving uphill with full power, if the battery level of the power battery is not less than 15%, the motor does not participate in power generation;

[0008] Power assist and mode switching: When the vehicle detects overtaking or requires more power, the motor automatically intervenes to assist, and the gas engine and the motor work together; the system can intelligently switch the driving mode according to different road conditions and load requirements, including pure electric drive, pure gasoline drive, and hybrid drive;

[0009] Energy recovery system: During the process of downhill deceleration, the motor is given priority to participate in kinetic energy recovery, and at this time the gas engine stops working; if the kinetic energy recovery of the motor is not sufficient to reduce the vehicle speed, the gas engine starts to provide braking assistance; when the braking capabilities of the gas engine and the motor still cannot meet the deceleration requirements, the brakes are forced to intervene for braking.

[0010] As an improvement, the sensors include a battery level sensor for detecting the battery level of the power battery, a vehicle speed sensor for detecting the vehicle speed, a rotational speed sensor for detecting the engine speed of the gas engine, and a load sensor for detecting the vehicle load.

[0011] As an improvement, the controller is an electronic control unit (ECU) with data processing and control functions, and the electronic control unit controls the operating states of the power battery, the motor, and the gas engine according to the operating parameters collected by the sensors according to the preset control strategy.

[0012] The beneficial effects of the present invention are as follows: By collecting operating parameters in real time through sensors, the controller accurately regulates the working states of the power battery, motor, and gas engine, effectively solving the problem of poor power coordination in existing hybrid heavy trucks. Its multiple working modes greatly improve the energy utilization efficiency. The pure-electric start, reasonable engine intervention, and battery charging strategies avoid energy waste and reduce energy consumption. The intelligent switching of drive modes can adapt to different road conditions and loads, ensuring strong power. The energy recovery system preferentially uses the motor to recover kinetic energy when going downhill. When insufficient, the gas engine assists, greatly improving the energy utilization rate, thereby extending the driving range and achieving multiple goals of energy conservation, strong power, and long driving range. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a block diagram of an intelligent drive and energy optimization system for a parallel hybrid heavy truck according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] As Figure 1 shown, an intelligent drive and energy optimization system for a parallel hybrid heavy truck includes a power battery, a motor, a gas engine, a controller, and sensors. The sensors are used to collect the operating parameters of the vehicle in real time. The controller controls the working states of the power battery, motor, and gas engine according to the collected operating parameters. The working modes of the system are as follows:

[0015] Pure-electric start and engine intervention control: When the vehicle starts, the power battery drives the vehicle through the motor. When the remaining power of the power battery is less than 20%, the power battery sends a signal to the gas engine, and the gas engine idles and starts after a delay of 8 - 10 seconds, and then works fully.

[0016] Engine operation and battery charging strategy: After the gas engine works fully, if it is detected that the power of the power battery is below 15%, a part of the power of the gas engine is used for vehicle driving, and the other part is used to charge the power battery and supply power to the electric devices on the vehicle. When the power of the power battery is charged to 25% - 30%, the gas engine stops charging. In the pure-fuel driving state, when the vehicle is in the 12th gear and the vehicle speed reaches 80 - 85 km / h, the gas engine speed exceeds the economic speed and the vehicle is detected as unloaded, the motor starts to charge the power battery. When the power of the power battery is charged to more than 85%, the motor works fully, the gas engine shuts down after a delay of 8 - 10 seconds, and the vehicle switches to pure-electric driving. When the power of the power battery is less than 20%, the gas engine starts working again. When driving uphill with full power, if the power of the power battery is not less than 15%, the motor does not participate in power generation.

[0017] Power assist and mode switching: When the vehicle detects overtaking or requires greater power, the motor automatically intervenes to assist, and the gas engine and the motor work together; the system can intelligently switch the driving mode according to different road conditions and load requirements, including pure electric drive, pure fuel drive, and hybrid drive;

[0018] Energy recovery system: During the process of downhill deceleration, the motor is given priority to participate in kinetic energy recovery, and at this time the gas engine stops working; if the kinetic energy recovery of the motor is not sufficient to reduce the vehicle speed, the gas engine starts to assist in braking; when the braking capabilities of the gas engine and the motor still cannot meet the deceleration requirements, the brakes are forced to intervene in braking.

[0019] The sensors include a power sensor for detecting the power of the power battery, a vehicle speed sensor for detecting the vehicle speed, a rotational speed sensor for detecting the rotational speed of the gas engine, and a load sensor for detecting the vehicle load.

[0020] The controller is an electronic control unit (ECU) with data processing and control functions. The electronic control unit controls the working states of the power battery, the motor, and the gas engine according to the operating parameters collected by the sensors according to the preset control strategy.

[0021] The energy-saving and consumption-reducing effect of the system is remarkable. Compared with gas heavy trucks, the gas consumption can be reduced by about 30%-40% under the same working conditions. The combined gas and electric energy of the system reaches 900 horsepower when going uphill, and its starting, accelerating, and climbing performance is excellent. The full gas and full power endurance of the system can reach more than 1800 kilometers. When braking downhill, the system can use electronic energy to push back the brakes and recover kinetic energy, which improves safety by more than 80% compared with other heavy trucks. When the system is fully loaded with 49 tons, the cost per kilometer is about one yuan, which saves more than 20% compared with pure electric heavy trucks.

[0022] During use, hardware devices such as power batteries, motors, gas engines, controllers, and sensors are reasonably installed on the vehicle chassis to ensure that the electrical and mechanical connections between components are firm and reliable. The sensors are installed in accurate positions and can collect real-time operating parameters of the vehicle, such as vehicle speed, battery level, engine speed, load, etc. Write and burn the control program into the controller. The program precisely controls the operating states of the engine and motor and the switching of drive modes according to different working conditions of the vehicle and the collected parameters. In the battery level detection program, set the level threshold to trigger actions such as engine start, charging, and stop charging; in the power assist program, judge whether motor assistance is required based on signals such as vehicle speed and accelerator pedal position, and control the output power of the motor. After the vehicle assembly is completed, conduct a comprehensive system debugging. By simulating different driving conditions, such as congested roads, high-speed driving, climbing, and descending, detect the working performance of the system. According to the debugging results, optimize and adjust the parameters of the control program to ensure smoother cooperation between the engine and motor, higher energy recovery efficiency, and smoother drive mode switching, so as to achieve the best performance.

[0023] The above are only the preferred embodiments of the present invention patent and are not intended to limit the present invention patent. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention patent shall be included within the protection scope of the present invention patent.

Claims

1. A parallel hybrid heavy truck intelligent drive and energy optimization system, characterized in that: It includes a power battery, a motor, a gas engine, a controller and a sensor. The sensor is used to collect the operating parameters of the vehicle in real time. The controller controls the working state of the power battery, the motor and the gas engine according to the collected operating parameters. The working mode of the system is as follows: Pure electric start and engine intervention control: When the vehicle starts, the power battery drives the vehicle through the motor. When the remaining power of the power battery is less than 20%, the power battery sends a signal to the gas engine, and the gas engine delays 8-10 seconds to start at idle speed, and then works in full. Engine operation and battery charging strategy: After the gas engine is fully operational, if it is detected that the power battery is below 15%, part of the power of the gas engine is used for vehicle driving, and the other part is used to charge the power battery and power the electric devices on the vehicle; when the power battery is charged to 25%-30%, the gas engine stops replenishing power; in the pure oil driving state, when the vehicle is in 12th gear and the speed reaches 80-85 speed, the gas engine speed exceeds the economic speed and the vehicle is detected as unloaded, the motor starts to charge the power battery; when the power battery is charged to more than 85%, the motor is fully operational, the gas engine is delayed for 8-10 seconds to shut down, and the vehicle switches to pure electric driving; when the power battery is less than 20%, the gas engine starts working again; when driving at full speed uphill, if the power battery is not less than 15%, the motor does not participate in power generation; Power assistance and mode switching: when the vehicle detects overtaking or requires greater power, the motor automatically intervenes to assist, and the gas engine and the motor work together; The system can intelligently switch driving modes according to different road conditions and load requirements, including pure electric drive, pure oil drive, and hybrid drive; Energy recovery system: During downhill deceleration, the motor takes priority in kinetic energy recovery, and the gas engine stops working at this time; if the motor kinetic energy recovery is not enough to reduce the vehicle speed, the gas engine starts braking assistance; when the braking capacity of the gas engine and the motor still cannot meet the deceleration requirements, the brakes are forced to intervene.

2. The parallel hybrid heavy truck intelligent drive and energy optimization system according to claim 1 is characterized in that: The sensors include a power sensor for detecting the power of the power battery, a vehicle speed sensor for detecting the vehicle speed, a rotation speed sensor for detecting the rotation speed of the gas engine, and a load sensor for detecting the vehicle load.

3. The parallel hybrid heavy truck intelligent drive and energy optimization system according to claim 1 is characterized in that: The controller is an electronic control unit (ECU) with data processing and control functions. The electronic control unit controls the working states of the power battery, motor and gas engine according to a preset control strategy based on the operating parameters collected by the sensor.

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