An Energy Management System Using Trip Information and Fuzzy Logic for a Plug-In Hybrid Electric Vehicle

摘要

The growing interest in reducing fuel consumption and gas emissions provides an incentive for the automotive industry to innovate in the field of hybrid and plug-in hybrid electric vehicles. The two embedded power sources in these vehicles require an intelligent controller in order to make the best decision on the power distribution. Actually these controllers, often called energy management systems (EMS), are very important and greatly influence the achievable fuel economy. Many authors have studied the possibility of fuzzy based systems as they have proved to be robust, reliable and simple. However, they demonstrate a lack of optimality because their design is focused on the vehicle characteristics rather than the driving conditions. This paper proposes an approach that uses a fuzzy system fed with driving condition information in order to increase the controller effectiveness in every situation. The efficiency of the proposed controller is demonstrated through simulations.