Management of Energy sources of hybrid electric vehicles using degree of hybridization and Sequential Approximate Optimization


Sadiq M. Ihmood, Haider J. Abid and Hazim E. Radhi


Mechanical Engineering Department, University of Thi-Qar, Iraq

Corresponding Author Email: sadiq.muhsin@utq.edu.iq

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This paper presents a fuzzy logic controller based on instantaneous Degree of Hybridization (DOH) to manage the energy sources of hybrid electric vehicles. Also, sequential approximate optimization in addition to trust region method are used to optimize the state of charge of battery (SOC), minimize the consumption of fuel and emissions. The proposed control strategy has been implemented on electric vehicle with parallel hybrid and tries to make the engine operate near the optimal point. Advanced Vehicle Simulator software (ADVISOR) is used to implement the control strategy. The results from this technique are compared with normal and economy modes to clarify the efficiency of this method.