The Research And Design On Control System For Range Extended Electric Vehicle

In twenty-first Century, the mankind has already entered the era of "low carbon", the haze and the greenhouse effect, which caused by traditional vehicle with high energy consumption in a large extend, has attracted more and more attention and concern. Since recent years, more and more environmental protection has been used in the automotive field, thus the popularization and application of the electric vehicle will come into reality step by step.In all kinds of electric vehicles, pure electric vehicles(PEV) is regarded as the most ideal types of electric vehicles, but due to the bottleneck of the PEV battery, such as low energy density, high cost, long charging time, short service life problems, therefore the popularize of EV is difficult to achieve. Under this background, the range-extended electric vehicle(REEV) with range extender(RE) consist of an engine and a generator, which can reduce the requirement of battery, lower the cost of the vehicle and has the advantages of both the traditional vehicle and EV, is considered to be electric vehicle type of transition to the PEV.The research on effectively control the REEV and lower emission of the RE is a hot issue due to the complex structure of REEV, in order to solve the problem, a control system consist of system design scheme and energy management strategy on RE is proposed in this paper. In the aspect of the hardware design, the design on RE control system includes overall framwork, signal induction, modular circuit design, module circuit design, a detailed design project based on the MCU of Tricore 1782, PCB design and circuit testing content is proposed in this paper.In aspect of control system software, the software is consist of bottom level driver and control strategy, and the bottom layer driver provides application interface program for control strategy. In order to effectively control RE for REEV, a control strategy of “power follow command plus thermostat” based on fuzzy control and Multi-objective optimization with genetic algorithm is developed in this paper, and a REEV dynamic simulation model is built for performance analysis by the interlinking of advanced software AVL CRUISE and Matlab/Simulink. The results show the excellent performance of the control strategy, which could both appropriate meet the needs of power system, meanwhile, the control strategy focuses the engine work point around the optimal brake specific fuel consumption trajectory, which has an effective improvement on RE efficiency and emissions.