In order to increase the driving range of plug-in hybrid electric vehicle, dual motor control strategy was proposed. This method will offer various mode of control and less energy consumption. This dynamic performance of system improved by using the rule-based algorithm of fuzzy logic. Power demand for vehicle propulsion and energy storage system parameter is estimated. The effect of this value based on the torque requirement for vehicle propulsion is calculated. Based on the total torque requirement and SoC of the battery, the corresponding mode of operation is identified by using the rule-based algorithm. The main controller will monitor the propulsion control and dynamic performance of the system. The power train configuration for dual motor with engine control is designed using Simulink. Most of period of control, torque requirement for the vehicle propulsion met by the single electric motor, i.e., vehicle operating in electric mode. The result shows the extension of driving range and reduced energy consumption.
Dual Motor Power Management Strategy for Plug-in Hybrid Electric Vehicle
Lect. Notes Electrical Eng.
Proceedings of International Conference on Power Electronics and Renewable Energy Systems ; Kapitel : 45 ; 491-498
22.11.2021
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Blended Power Management Strategy Using Pattern Recognition for a Plug-in Hybrid Electric Vehicle
British Library Online Contents | 2016
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