Study On Hybrid Electric Vehicle Control Strategy Based On Driving Intention Recognition

With the increasing problem of China’s energy structure and the continuous development of automotive industry technology,in recent years,the automotive industry has been exploring more efficient and energy-saving forms of automotive power.Because of its high efficiency and minor changes,hybrid electric vehicles have become an important technical route under current technical conditions.As the core of hybrid vehicle control technology,energy management strategy has a significant impact on the vehicle’s dynamics and economy.Accurate identification of driving intentions is conducive to improving the efficiency of energy management strategies and further improving the fuel economy of the entire vehicle while ensuring that power performance is not affected.In view of this,this paper takes the P2 configuration hybrid electric vehicle as the main research object,and studies the characteristics and parameter matching methods of the core power components of the vehicle;A driving intention recognition system based on fuzzy control was proposed and an energy management strategy based on driving intention was studied;The coupling simulation method of the controlled object model and the hybrid control strategy model was used to explore the influence of driving intention-based energy management strategies on the vehicle’s dynamics and economy,and the simulation tests were performed.(1)The selection,characteristic analysis and parameter design methods of the main power components of hybrid electric vehicles are studied.Finally,the hybrid system scheme and the core performance parameters of each component were determined,which laid a solid foundation for the subsequent design of the hybrid energy management strategy scheme.(2)Based on the Tagaki-sugeno fuzzy control method,the driving intent classification method and the selection of various driving intent recognition parameters are studied,and the identification parameter membership functions and fuzzy inference rules based on experimental data and development experience are proposed;Through fuzzy control toolbox,accurate recognition of various driving intentions is finally achieved.(3)The hierarchical structure of the hybrid control system is proposed;the types of work modes and feasible mode switching paths that should be driven and braked in the vehicle are analyzed;Through the universal characteristics of the engine,the working area of each mode of the driving state is determined;A torque control energy management strategy based on driving intention recognition results and a target torque allocation method based on vehicle economics are proposed.Use different recognition results of driving intention to identify torque demand and switch operating modes in two operating states to distribute target torque for each power source.(4)A forward simulation model of vehicle performance and a hybrid control strategy simulation model based on driving intention recognition are established.Vehicle dynamic and braking performance simulation tests was carried out to verify that the vehicle performance reaches the preset dynamic and braking performance indicators;In the NEDC and WLTC,by comparing the economic indicators such as engine operating point distribution,SOC variation curve,and fuel consumption of different schemes,the effectiveness of energy management strategies based on driving intent to improve vehicle economy is verified.