Research On VCU Integrated With Wireless Transceiver Module And Research On Its Control Strategy

VCU (Vehicle Control Unit) plays a key role in EVs (electric vehicles) in the aspect of coordinating and controlling other ECUs, and whether it's hardware and control strategy's has been well designed is crucial to EV's performance. VCU collect control signal from driver and other information from sensors, and obtain information from MCU (motor control unit) and BMS (battery management unit) through CAN-BUS, VCU make an comprehensive analysis with this three different information, and then output control signal to actuators and ECUs to control the operation of the EV. The article divided control strategy of VCU into two different parts:First part is control of VCU to EV's vehicle signal, includes key-on controller, gear controller, accelerate pedal, brake etc. which is corresponding to strategy of power-on self-test, vehicle starting, brake regeneration etc.; Second part is control strategy of VCU's torque require instruction, which is given by analysis of driver's peddling, and combined with current vehicle speed and SOC, and then send torque require instruction to MCU.Telematics has already became a popular topic of nowadays, the article propose to integrate the VCU with a GPS/GPRS wireless module. And through this module we can obtain information, such as road situation and distribution of charging pile, to optimize VCU's control strategy, and send information of EV to remote terminal through this module at the same time for information-sharing.The following studies have been done in the article, which are based on a test vehicle of a company:(1) Made full investigation on the control information of test car and finished the design of VCU's hardware. After deep investigation of the development of Telematics, integrate the VCU with an wireless module, so that VCU can optimize control strategy with outside information;(2) After intensive experiments with the test vehicle, make distinguish with different type of information and make sure its number, and then optimize control strategy of power-on self-test, brake regeneration, faulty information processing etc. with these information;(3) Conducted a lots of test on motor and battery on order to get their parameters MAP. The article settle the drive mode to economy and build Simulink model with parameters of motor, battery and the test car, and make sure all this model form a closed loop experiment system;(4) Compare all fuzzy control parameters carefully, and select proper fuzzy control strategy and control parameters, for the compensation optimization of output torque of the test car. Then compare and analyze results of output torque, top speed, driving range etc. before and after optimization. The result indicates that the optimization strategy can enhance the test vehicle's dynamic performance without too much sacrifice in economy performance, but can ensure that the driver can have a better driving experience.