Power management strategies of hybrid storage system suppling electric vehicle

Battery electric vehicles (BEV) initially appeared as a promising solution against climatic disasters due to petroleum vehicles and the continuous growth in energy demand for road transport. However, their weak autonomy combined with too high a cost slowed down their development in the world market. However, a second transition to multi-source electric vehicles which consist of a set of Energy Storage Systems (ESSs), may be possible solutions to improve the vehicle's autonomy and the duration of battery life by significantly reducing polluting emissions to the environment. In fact, this paper presents a hybrid SSE which is mainly based on High energy lithium-ion (Li-ion) batteries and High power batteries for powering an all-electric vehicle. This hybridization of a main High energy Li-ion battery source with the secondary High power batteries source adds greater HEV autonomy but it increases the complexity of the Energy Management System (EMS). In this work, the main objective is designed to simulate the strategies based on deterministic rules like the filtering method (MF) and the Limitation method (ML) for running electric vehicle with hybrid source in real time. Strategies ML and MF were chosen in the first place thanks to their simplicity in time integration real but unfortunately these techniques have no control over the behavior of the High power batteries during the rolling cycle. For this an improvement of these three strategies was introduced by integrating a technique of control of the state of charge "Control SOC" of this secondary source in order to follow the behavior of the High power batteries along the conduct of the driver in order to ensure loading the High power batteries at the end of each cycle. These strategies of the proposed energy management system have been successively validated by experimental tests for an urban-type rolling cycle (ARTEMIS) using the Matlab-Simulink.