The utilization of Regenerative Anti-lock Braking System (RABS) for saving energy in electric and hybrid vehicles has been previously studied, but to the best of our knowledge this study is the first to assess enhancing regenerative braking performance at low speeds. The proposed system detects the type of the road condition and adapts braking performance with road condition. RABS comprehensive model is constructed using Matlab/Simulink simulation for optimization of the the control system performance during braking on different terrains. Additionally, an experimental test rig is constructed on a hybrid golf cart where two modes of control are tested on different road conditions; the speed reducing mode and the stopping mode. Efficiency of converting lost braking energy to useful charge to the batteries reaches up to 30% at speeds lower than 10 km/hr.

之前已经研究过利用再生防抱死制动系统 (RABS) 来节省电动和混合动力汽车的能源，但据我们所知，这项研究是第一个评估在低速下增强再生制动性能的研究。所提出的系统检测路况的类型并根据路况调整制动性能。RABS综合模型采用Matlab/Simulink仿真构建，用于优化不同地形制动时的控制系统性能。此外，在混合动力高尔夫球车上构建了一个实验测试台，在不同的道路条件下测试了两种控制模式；减速模式和停止模式。