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      Optimal power management strategy by using fuzzy logic controller for BLDC Motor-Driven E-Rickshaw

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          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 (HESS) 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 supercapacitor (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 Supercapacitor. By providing a new switching algorithm, the DC link voltage is boosted to effectively transfer power to the HESS unit. Fuzzy logic-based HESS provides better performance in electric vehicles, such as 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.

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          An Adaptive Fuzzy Logic-Based Energy Management Strategy on Battery/Ultracapacitor Hybrid Electric Vehicles

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            Is Open Access

            A Fuzzy-Logic Power Management Strategy Based on Markov Random Prediction for Hybrid Energy Storage Systems

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              Solar-Assisted Electric Auto Rickshaw Three-Wheeler

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                Author and article information

                Journal
                Journal of Intelligent & Fuzzy Systems
                IFS
                IOS Press
                10641246
                18758967
                January 25 2022
                January 25 2022
                : 42
                : 2
                : 1089-1098
                Affiliations
                [1 ]Department of Electrical Engineering, Kamla Nehru Institute of Technology, Sultanpur (U.P.)-India
                [2 ]Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh, India
                Article
                10.3233/JIFS-189774
                f48d414a-0365-405f-a4f4-36d45ba3f46a
                © 2022
                History

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