An Adaptive Fuzzy Logic Based Energy Management Strategy for Electric Vehicles

one of the key issues for electric vehicle (EV) development is the energy management strategy, especially for those with hybrid energy storage systems. A fuzzy logic based energy management strategy (FEMS) is proposed in this work to determine the power split between two energy storage sources: a battery tank and an ultracapacitor tank. Fuzzy logic control is chosen because of the nonlinearity of the EV plant and real-time control issue. The FEMS is further improved to be adaptive for better control performance. The underlying principle of this adaptive fuzzy logic control is to maximize the system efficiency, to maintain ultracapacitor charge state, and to minimize the battery current variation. NetLogo is used to assess the performance of the proposed methods. Simulation results show that the proposed control method produces better and balanced performance in terms of comparison criteria.