Study On The Regenerative Braking System Of PEV And Design Of The Test-bed For RBS

Because of the pressures from environmental protection and energy crisis, the electric vehicle has turned into one of the research focuses of automobile industry. As an advantage of electric vehicle, Regenerative Braking System not only ensure the braking performance and the stability, but also recovers part of energy, which plays important practical significance for extending driving range and improving economic and dynamic performance of electric vehicle. Supported by Shaanxi key scientific project——'The Study of Pure Electric Test Vehicle'and based on Regenerative braking system, control strategy and test bed are studied in this paper. Specifically, the main work as following:1. After summarizing and analyzing the influences which RBS plays on vehicle, the RBS evaluating method is promoted, and the evaluate parameters are confirmed. Especially, the wasted energy per cycle and the wasted energy per cycle and per mass are firstly put forward in this paper.2. The structure scheme and main parameters of RBS are introduced. Based on analyzing three classic regenerative braking forces distributing strategy and regenerative braking influencing factors, the regenerative braking control strategy based on ABS is put forward.3. The math model of RBS is established, and simulated under different braking cycle with the former strategy promoted in this paper. The results show that motor braking force and hydraulic braking force compatibly works for every cycle, partially hydraulic braking force plays excellent control effect, which ensures the braking stability and effectively recovering energy. When the vehicle brakes with medium speed, smaller braking strength and medium SOC, the recovery efficiency is highest.4. According to the needs of verification the regenerative braking control strategy, the regenerative braking test bed is designed. In this paper, the mechanical structure of test bed is designed, and the vehicle inertia and resistance modeling methods are studied. Finally, the scheme of test and control system is finished.