An integrated fuzzy logic energy management for a dual-source electric vehicle

Abstract

Electric vehicles (EVs) have been gaining prominence in the future of sustainable transportation. Advances in energy management systems have shown that EVs with hybrid electric storage systems might be important in situations with frequent speed variations as in urban traffic, attaining more efficient powertrain energy application. Therefore, EVs energy management is an important issue with significant influence in EVs performance. EVs management systems provide important benefits such as reducing energy consumption, decreasing pollution and improving driving performance in the EVs perspective. In this paper, a promising EV dual source architecture, with supercapacitors and batteries is proposed in order to satisfy the EVs energy requirements. Considering several EVs power scenarios, an energy management system based on fuzzy logic control strategy was developed. Thus, for a future reduced scale implementation on laboratory workbench, a good energy trade contribution from the two involved sources is required, improving the EVs efficiency and the performance of the overall system.