Research On Energy Management Strategy Of Hybrid Electric Vehicles In Internet Of Vehicles

As social problems such as environmental pollution and energy consumption caused by the development of world productivity have become increasingly prominent,the development of new energy vehicles has become a key way to alleviate and solve the problems.Before the actual breakthrough in pure electric vehicle technology,hybrid electric vehicles have become a compromise option,and energy management strategies have always been the research hotspots of hybrid electric vehicles.Exploiting the potential of energy management strategies is an important means to improve the economics of hybrid vehicles.At present,the development of automobiles has begun to move closer to the direction of intelligence and connectivity.The maturity and participation of the Internet of Vehicles technology has brought more possibilities for the technological improvement of the automobile industry.The Internet of Vehicles information is used to provide a basis for the improvement of energy management strategies.This article combines the Internet of Vehicles technology,model predictive control and energy management strategies to improve the mobility,comfort and economy of automobiles.The main contents of this paper are as follows:First of all,this paper takes a single-axle parallel hybrid bus as the research object,and uses Matlab/Simulink to build the vehicle dynamics model of the bus and the key system components of the bus,such as the engine,motor and battery models.At the same time,in Prescan,networked scenes and traffic conditions are built,real-time traffic information and bus status are obtained,and joint simulation with Matlab/Simulink is realized,which establishes the foundation for the following research.Secondly,the article is divided into three phases for research: vehicle speed planning,vehicle speed control and energy management.In terms of vehicle speed planning,the passing state of the signal scenes of different intersections of passenger cars is analyzed,and the target vehicle speed calculation method under V2 I is designed.Through simulation comparison,it is proved that this method reduces idling conditions and saves travel time compared with traditional cars without internet connection.At the same time,model predictive control methods are mainly used in vehicle speed control.This method can target the target speed,acceleration,impact and braking force according to the driving requirements of the passenger car,and realize the ability of the passenger car to keep track of the speed,thereby improving the comfort performance and economic performance of the passenger car.The energy management strategy uses the equivalent fuel consumption minimization method to optimize the real-time torque distribution of the power source.In view of the shortcomings of the traditional equivalent fuel consumption minimization method,the calculation of the equivalent factor is improved,and the vehicle speed predicted in the vehicle speed control is combined with the equivalent factor to improve the equivalent fuel consumption minimization method for working conditions Adaptability.Under continuous and transfer working conditions,the equivalent fuel consumption minimization method adapted to the working conditions can reasonably allocate energy,which not only maintains the balance of battery SOC,but also improves fuel economy.Finally,in order to verify the real-time performance and effectiveness of the method of minimizing equivalent fuel consumption for working conditions in this paper,a hardware-in-the-loop experiment platform was established through d SPACE,and the continuous working conditions in the suburbs and the urban transfer stations were tested respectively.The corresponding working conditions are adapted to the equivalent fuel consumption minimization method for real-time simulation.The hardware-in-the-loop simulation results show that the equivalent fuel consumption minimization method considering the adaptation of the working conditions can achieve the balance of the battery SOC in a real-time environment and improve the fuel economy of the passenger car,which proves the real-time and effectiveness of the strategy.