Research On A Pure Electric Vehicle Controller Based On Genetic Algorithms And Fuzzy Control

In recent years, emissions of greenhouse gas and depletion of natural resources has become a serious global problem. The car accounts for more than70%gas emissions of urban pollution. Electric vehicles, have high efficiency and zero emissions, is considered to solve these problems. To master the key technology of electric vehicles, vehicle control is the core. The vehicle controller performance directly affects the vehicle’s dynamic and economy. The pure electric vehicle which has batteries and ultra-capacitors as composite energy systems uses vehicle controller to coordinate the work of both, increases driving range and extends battery life.We studies the vehicle structure, and analyses the structure of vehicle powertrain and composite energy systems, and determines the type and structure of the composite energy source, and analyses the performance of critical components. We formulates the vehicle control strategy and establishes the vehicle model, analyzes vehicle operating conditions and the characteristics of the composite energy system, develops a vehicle energy distribution control strategy. We builds models of drive motor, battery, ultra-capacitors and DC/DC by MATLAB/Simulink and establishes the whole vehicle model. Simulation of the vehicle model offline verify the validation of control strategies. Using genetic algorithms optimizes fuzzy control strategy’s membership function and control rules, and completed the genetic algorithm in MATLAB design and simulation. HIL simulation:using dSPACE/MATLAB platform to build hardware-loop simulation system, test the designed vehicle controller, analyses the experimental results.The simulation and experimental results indicate that the vehicle control strategy can achieve the target of vehicle control and give play to the advantages of composite energy system. Optimized fuzzy control strategy consumes less energy and increases driving range. And HILS shows that the VCU is accordance with the requirements of the set.