Design And Research Of Vehicle Controller For Pure Electric Vehicles

In recent years,with the rapid improvement of people’s quality of life,automobiles as a convenient travel tool have gradually spread all over the streets and alleys.The ensuing vehicle exhaust pollution has made the environmental situation more and more severe.It is reported that the air pollution generated by vehicle exhaust accounts for 42% of the global air pollution.As we all know,as an unsustainable renewable energy source,the most important use of oil is to be used as the main power source for various types of transportation.Blindly over-exploitation of oil resources will eventually face a day of scarcity.At present,environmental pollution and energy shortage have become recognized as two major problems in the world.Popularization of clean tailless pure electric vehicle Fuel consumption is crucial to consumption and durability.As the control center of pure electric vehicles,the vehicle controller has the functions of vehicle status and driving intention information collection and processing,unified scheduling and coordination of various control units,and realization of drive control and fault handling,and plays a main role from it.Therefore,the pros and cons of the control strategy design directly determine the performance and safety of pure electric vehicles.Therefore,it is particularly vital to develop a set of reasonable and perfect control strategy of pure electric vehicle controller.Nowadays,with the increasing complexity of control strategy development,problems such as long development cycle,high cost,and difficulty in debugging are caused.Therefore,traditional development methods are no longer suitable for the development of modern vehicle controllers.In order to solve the problems of the long development cycle,poor reliability,and poor stability of pure electric vehicle controller,this paper adopts the mainstream model-based software development firm,and follows the international V-shaped process development model under the AOTOSAR architecture,using Matlab/Simulink/Stateflow modeled development environment,designed eight core controls for pure electric vehicle input signal processing,power-on,and power-off control,creeping and parking control,vehicle state management,torque control,vehicle energy recovery control,vehicle accessory management,and instrument display strategy,and established the connection between the product-level controller and the control strategy to realize the core control task of the vehicle.Based on the SAE＿J1939 protocol,the vehicle CAN communication network topology and vehicle CAN communication matrix are designed to realize real-time communication between each electronic control unit.By independently writing Matlab script files,automated model-in-the-loop testing is realized;Lab VIEW is used to innovatively build an integrated platform for vehicle controller R&D and testing,which realizes the open and closed-loop testing of control model design and model functions under the same platform.It not only improves development efficiency but also saves research and development costs.Through the hardware-in-the-loop test and the real vehicle test,the correctness and stability of the vehicle control strategy function are further verified.The results show that the designed vehicle controller control strategy can quickly respond to the driver’s operation intention,and the control function has better control functions.stability,correctness,and real-time performance.The developed vehicle controller meets the design requirements.