Classical Boolean and Fuzzy Logic Energy Management Strategies for a Parallel Hybrid Electric Vehicle Powertrain System

Abstract

In this paper, we make a comparative study of fuzzy logic and boolean logic energy management strategies (EMSs) for an hybrid electric vehicle (HEV) with parallel architecture made up mainly of an electric motor (EM) and an internal combustion engine (ICE). EM is used as a main propulsion system for the vehicle. However, the ICE is used as a backup system. This study is developed to manage the energy flow between the two sources by ensuring a balance between the generated and consumed powers, injected or absorbed into the battery and minimizing the ICE operation in order to reduce the fuel consumption and CO2 emission. The purpose of this study is to investigate the different scenarios for fuzzy logic and classical logic strategies under the Normalized European Drive Cycle (NEDC), NEDC cycle for 1-hour, and combined cycle of Worldwide harmonized Light vehicles Test Procedures (WLTP) and Assessment and Reliability of Transport Emission Models and Inventory Systems (ARTEMIS) cycles. The change of test conditions from NEDC to WLTP and ARTEMIS was shown to lead to a significant reduction of the fuel consumption and CO2 emission using the fuzzy logic control with results that may attend 50% increase of CO2 emissions reduction VS the results of boolean logic control. Simulations are made using MATLAB/ Simulink software. Results of both strategies are presented and discussed in this paper.