Research Of Regenerative Braking Strategies And Energy Manag Ement On Electric Bus Under Experimental Cycles

Electric vehicles have high thermal efficiency,low emissions,excellent dynamic performance,and huge potential.This has made new automotive technologies a key research target for countries around the world.Among them,the vehicle regenerative braking system(RBS),as one of the key technologies of electric vehicles,has attracted the attention and research of domestic and foreign scholars.At present,most electric vehicles are equipped with regenerative braking systems.Different from traditional fuel vehicles,the regenerative braking system used in electric vehicles has an excellent energy recovery potential and some auxiliary braking capabilities.During regenerative braking condition,the drive motor enters the power generation mode,and the mechanical energy is converted into electric energy and stored in the energy storage device under the anti-drag function of the vehicle inertia.For urban road conditions under high-speed conditions,regenerative braking has important implications for extending vehicle cruising range and energy recovery.In this paper,a Shenzhen urban driving cycle were excavated and tested,and then combined with the driving cycles of mainstream cities around the world as the front-end input for the research,electric buses(BEBs)were selected as research objects for regenerative braking and energy management.The main research contents include parameter matching and selection of key components such as driving motor and battery,combined with the experimental data integration model,building the vehicle dynamics and energy flow model of the electric bus,and designing and verifying the regenerative braking distribution strategy performance and energy recovery effectiveness.According to the data parameters of each component of the target vehicle model,a complete vehicle energy management and control strategy model for a pure electric passenger vehicle is constructed by means of a MATLAB/Simulink platform.Considering the input and output characteristics of the battery and the motor model underdifferent working conditions,this paper builds a model by using the characteristic data obtained through experiments,and has obtained higher mathematical model accuracy.At the same time,through the selection of motor and battery as well as the entire vehicle gantry data,the calibration and preliminary calibration of passenger vehicle performance indicators have been completed.This article propose a new regenerative braking distribution strategy that is based on multi-input fuzzy control logic while considering the influences of the battery's state of charge,the brake strength and the motor speed.To verify the braking performance and recovery economy,this strategy is applied to a battery electric vehicle model and compared with two other improved regenerative braking strategies.The performance simulation is performed using standard driving cycles(NEDC,LA92,and JP1015)and a real-world-based urban cycle in China.The tested braking strategies satisfy the general safety requirements of Europe(as specified in ECE-13H),and the emergency braking scenario and economic potential are tested.The simulation results demonstrate the differences in the braking force distribution performance of these three regenerative braking strategies,the feasibility of the braking methods for the proposed driving cycles and the energy economic potential of the three strategies.