Optimal power management strategy of regenerative braking using fuzzy logic controller for BLDC Motor-Driven E-Rickshaw

Abstract

In this paper, the authors have addressed the modeling and design of the BLDC Motor-Driven E-Rickshaw based on hybrid energy storage system for optimum power management using fuzzy logic. In Hybrid energy sources, solar power is used to charge a battery (primary source) that is effectively coupled to an ultra-capacitor (ancillary source) for peak demand supplies. A power-split control strategy is proposed to control the power supply by using the HESS Fuzzy Logic in different engine operating modes. Projected power layering improves the battery life cycle with the proper use of the Ultra-capacitor. A new renewable braking system (RBS) is proposed for HESS EV’s powered by a brushless DC (BLDC) engine. The electrical energy available during regenerative braking is stored in a supercapacitor battery. By providing a new switching algorithm, the DC link voltage is boosted to effectively transfer power to the HESS unit. The fuzzy logic technique is used as a braking force distribution system to ensure effective and smooth braking operations. Fuzzy logic-based HESS provides better performance in electric vehicles, such as highly efficient regenerative braking, deep discharge protection of the battery, and faster acceleration. Also, there is a quick comparison of E-rickshaw solar power with traditional E-rickshaw. The planned design model was simulated by MATLAB®/Simulink environment.