Effect of system parameters on load levelling strategy for a plugin parallel hybrid two-wheeler

An appropriate energy management strategy is essential to further improve the fuel economy of hybrid electric vehicles. Basic rule-based Energy Management Strategies (BEMS) are dominant in the hybrid automotive industry because of their ease of implementation and fast computation capability. However, their optimality differs considerably depending on the set of parameters considered, the rules developed and their calibration. This paper develops a Modified rule-based EnergyManagement Strategy (MEMS) using the load levelling strategy concept for a plugin, parallel hybrid two-wheeler and results are compared with the BEMS. The effectiveness of load levelling is validated under the influence of system parameters - engine sizing, clutch engage speed, battery charge rate, and regenerative braking energy. The fuel economy output of MEMS varies from -0.04 to 21.1% over BEMS.