Research On Electric Vehicle Charging And Energy Feedback System

Recently, severe fog and haze across the country sounded the alarm to the people, and it is very essential to develop the environmental-friendly new energy technologies. In the field of transportation, many energy and environmental issues brought by conventional vehicles have spawned the applications and rapid development of electric vehicles. However, it was find that low resource recycling rate and short mileage had become the bottlenecks of electric vehicles. Using intelligent charging technology can charge the batteries rapidly and friendly, energy feedback technology can improve the utilization of electrical energy, and increase the mileage greatly of EVs, so it will strongly promote the popularization of electric vehicles. For these reasons, this paper mainly studies the charging and energy feedback technology of EVs, the detail results are list as follows:1. We analyze the topology and working principle of the charging system, and based on the conventional methods of charging of EVs, the smart charging method is proposed, the charging process of it is very fast and efficient, and has little damage to the batteries. Then, this paper establishes a simulation model of regenerative braking system based on brushless DC motor (BLDC) in MATLAB, the simulation results prove that the braking energy can be recycled, thus the design of energy feedback system is demonstrated to be feasible.2. An optimized energy feedback system based on fuzzy control is designed, and it designs a maximum driving wheel braking force allocation strategy, which allows the driving wheel bear the maximum braking force, so that the vehicle could recycle more braking energy, while ensuring the safety of vehicles. And then, we consider the actual braking process of EVs, based on the vehicle speed, braking strength and battery state of charge (SOC), a regenerative braking fuzzy controller is designed. It can fully assess the operational status of the vehicle when braking and optimize the dynamic allocation process of regenerative braking force, which effectively improves the overall performance and energy recovery rate of the system.3. We establish and simulate the model of the system in the automotive simulation software (ADVISOR) for EV, and compare with the model of ADVISOR, experimental results show that the optimized energy feedback system significantly slows the descending speed of battery’s SOC, effectively raises the recovery rate of braking energy and prolongs the mileage of the pure electric cars.