Driving Control Strategy Research And System Implementation For Range-extended Intercity Electric Bus

Extending range electric bus is an ideal vehicle for the transition from a fuel vehicle to an electric vehicle.Compared to a pure electric vehicle,it not only reduces costs,but also extends the driving range.When the power battery fails,the APU can provide energy and the vehicle can run.Safety and reliability are more secure;compared with traditional fuel vehicles,they can enter purely electric driving modes,reduce fuel consumption and emissions,and ease urban pollution.This article relies on the joint development project of Jilin University and a company,“Extending Program Drive Control Strategy Formulation and System Implementation of Intercity Electric Passenger Cars”.According to the performance indicators proposed in the vehicle design task book,this paper completes the parameter matching,selection,and calibration of power system components.The nuclear power system analyzes the characteristics of each component of the power system,and based on this,it completes the formulation of the drive control strategy,optimizes the parameters in the control strategy using the particle swarm algorithm,and completes the system construction on the AVL_CRUISE and MARLAB co-simulation platform.Modality,and simulation verification of vehicle dynamics,economy and control strategy,and finally tested the real-time and reliability of control strategy on the hardware-in-the-loop testing platform.The main works as follows:(1)Based on the analysis of market similar products and market demand,the power system design scheme and performance index of the target vehicle model are proposed.Then the parameters of the powertrain system are matched,selected and checked,and the vehicle control strategy is formulated.And laid the foundation for the construction of the vehicle and control strategy model.(2)According to the battery SOC and the speed threshold,the extended-range passenger car driving process is divided into pure electric,hybrid drive,brake energy recovery and limp mode,formulating control strategies under various modes,and establishing multi-point control strategies for the range extender.Based on this,an optimization model foropening/closing timing of the hammer is established,and the particle swarm algorithm is used to optimize the logic and key parameters of the start and stop of the hammer.This effectively avoids the frequent start and stop of the wheel during vehicle travel.Adaptive mileage start and stop control.(3)Build up the dynamic simulation model of the electric bus based on the AVL_CRUISE software,build the control strategy model in MATLAB,including the drive and brake module,the controller control module and the pattern recognition module.CRUISE calls the control strategy through the Mat Lab DLL module.The model is compiled to generate DLL files for co-simulation.Since this article refers to the use of vehicles for inter-city passenger shuttles,a composite working condition consisting of urban rapid road cycle conditions and U.S.highway conditions is formulated to respectively increase the power of the extended-range electric bus.Sex,economy and control strategies were verified.The simulation results show that the application of particle swarm optimization in the design and development of the drive control strategy for the extended-range electric bus can realize the self-adaptive control of the driving range and ensure the vehicle dynamics and driving range.Under the premise of improving fuel economy,the use of electric buses is reduced.(4)Based on x PC-Target,build a hardware-in-the-loop simulation platform,compile the drive control strategy into a C language control program,modify the functional test interface definition,and verify the real-time running ability and reliability of the control strategy.the developed control strategy has been proved reasonably and effectively control the components of the power system.Each component can respond in time and the control effect is good.