Research On Hybrid Electric Vehicle Controller Based On The Equivalent Consumption Minimum Strategy

As the brain of the hybrid electric vehicle,the vehicle controller provides the management and control of the engine system,motor drive system and power battery system in the vehicle,combined with the corresponding control algorithm,so that the vehicle achieves a balance between driving performance and energy saving and environmental protection.Research on vehicle controllers has attracted the attention of scholars and companies at home and abroad.This article focuses on vehicle controller design and its control strategy.This article first introduces the current research status of hybrid electric vehicles and their controllers and the research status of vehicle control strategies,and conducts in-depth research on two different control methods of rule control and optimal control.Through the modeling method of energy analysis,the vehicle carries out system-level simulation design,analyzes the working mechanism of the battery,engine,electric motor and other parts in the powertrain of the vehicle,builds simulation models of the vehicle controller,driver,and environmental variables,and realizes the adjustment through the visualization window.Observation of the key parameters of the vehicle simulation process.Secondly,based on the in-depth study of the equivalent consumption minimum strategy in the instantaneous optimization method,the penalty function is introduced to constrain the battery charge and discharge interval,so that the battery works in a shallow charge and shallow discharge state.Through the equivalent modification of the equivalent consumption minimum strategy,the control parameters are simplified.By introducing the SOC feedback link,the control system’s ability to restrain the battery and its adaptability are realized.A simulation model was built in Simuilink to analyze the impact of key factors such as the penalty index,PI parameters,and equivalent factors in the adaptive equivalent consumption minimum strategy on the fuel consumption and SOC variation range,and the genetic algorithm was used to analyze the key parameters Optimized to improve system fuel economy.Finally,according to the V-shaped development process of the vehicle controller,its functional requirements are analyzed,and the software and hardware system of the vehicle controller with MPC5744 P as the core is designed.The hardware includes power supply circuit,communication circuit,driving circuit,sampling circuit,etc.The software includes boot loader,driver,vehicle startup logic,etc.The designed vehicle controller and experimental test platform were described,and the controller was debugged and experimentally studied.The experimental results verified the feasibility of the control strategy.