Research On The Low-Speed Cruise Control Strategy And Simulation For Electric Vehicle

Environmental pollution, energy crisis, industrial upgrading and sustainable development are the four serious issues for our country. New energy electric vehicle has a very important role in promoting to mitigate the environmental pollution, the energy crisis and sustainable development. What’s more, the development of automatic and intelligent vehicle is becoming the new direction of vehicle research. Especially, low-speed cruise system and intelligent control algorithm will make our vehicles driving more comfortable and intelligence. This thesis involves the research on the low-speed cruise control strategy and simulation for electric vehicle. In this thesis, a control algorithm of DC motor for electric vehicle is proposed, and low-speed cruise simulation is realized. The main research of this thesis focuses on the following:First of all. the thesis presents a control strategies of Brushless DC motor (BLDC) based on Adaptive Fuzzy-Logical PID algorithm for Electric VehicleThis thesis presents a control strategies of Brushless DC motor(BLDC) based on adaptive fuzzy-logical PID algorithm for Electric Vehicle. The results of simulation using Matlab/Simulink show that the validity and reliability of the proposed adaptive fuzzy-logical PID algorithm compared to the traditional PID algorithm and fuzzy control. From both theoretical analysis and simulation, it is shown that adaptive fuzzy-logical PID algorithm has better performance in the robustness, control shocks, response speed and adjusting bias. To show the advantage of adaptive fuzzy-logical PID system in this paper, we have implemented a simulation environment to evaluate the proposed system’s performance for Brushless DC motor based on TMS320f2808and IR2136. The results of the simulation shows that the validity of the proposed adaptive fuzzy-logical PID algorithm.Secondly, acceleration performance analysis of Electric Vehicle (EV) is proposed in this thesisIn order to demonstrate the performance of EV, in this thesis, we do some experiments using Matlab/Simulink to evaluate the acceleration performance. The performance analysis of EV from zero to40km/h and zero to100km/h shows that the validity of EV. In our simulation, we can achieve the better performance using the model of Magotan and Tesla Model S P85.The truth is that EV gets less acceleration time, smoothly and much more stability than traditional internal combustion engine. This thesis shows that the trends and directions of vehicle in the future. Finally, this thesis presents the kinetic model of EV, and research on low-speed cruise control is shown in this sectionIn this thesis, we present a novel low-speed cruise control algorithm based on above research. The general architecture of the low-speed cruise control is shown in the thesis. To illustrate the practical and feasibility of the proposed system, we have done some simulation as following performance:acceleration, deceleration, braking and recovery. The final performance evaluation demonstrates the validity of the proposed system.