Dynamic Modeling And Strategy Optimization For Pure Electric Light Bus Driven With Double Motor

Energy crisis is increasingly serious,the development of new energy vehicles more and more countries by consensus.Electric vehicles are recognized as one of the most promising measures to address future energy and environmental problems due to clean,energy saving,low noise,zero emissions,and zero pollution.Dual motor coupling drive can be controlled by the motor to improve the energy efficiency of the two motors in order to achieve energy saving effect.Therefore,the electric vehicle with dual motor coupling drive has become the main research direction.In this paper,a new dual-motor coupled drive configuration is proposed.Based on the new configuration,the vehicle off-line model simulation and vehicle energy global optimization are carried out by using the passenger train LCK6660 EVG as the research object.Specific research includes several aspects:(1)presents a new dual-motor coupled drive configuration.And according to the vehicle's vehicle parameters and performance requirements,matching drive motor,coupler and the main reducer parameters.And the structure of the configuration,working mode,speed,torque analysis.(2)to build vehicle off-line simulation model.The MTALAB software is used to build the vehicle simulation model,which includes the new configuration coupler model,the motor model,the vehicle longitudinal dynamic model and the shift strategy design.(3)vehicle energy global optimization.Aiming at the results of dual-motor coupling configuration and parameter matching,the dynamic optimization of vehicle energy is realized by dynamic programming theory.(4)proposed dual motor torque distribution strategy.Simulated annealing algorithm is used to obtain the real-time control of the dual motor torque distribution strategy and has completed the vehicle energy global optimization results for comparative analysis.In this paper,by designing a new dual-motor coupled drive configuration,the vehicle simulation and energy optimization on the model are obtained.The electric vehicle with the new configuration is extended by 20 km compared with the original vehicle.The vehicle energy is optimized globally.Torque distribution strategy Battery energy increased by 30.2%.