Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System

Abstract

A dynamic modeling of Fuel cell/Battery assisted hybrid electric vehicle system is presented in this article and two suitable power sharing control strategies are integrated into the system with the objective of minimizing the fuel consumption and maximizing the battery life through its safe operating limit. This prominent goal is accomplished into the developed hybrid vehicle system by incorporating suitable control strategies without compromising the drivability of the vehicle. The proposed hybrid electric vehicle is capable of sustaining the peak power demand and utilizes the regenerative power in an effective manner for charging the energy storage system which could be possible with the relative power control strategy. In this paper, the proposed vehicle is modeled for its different hybridized configurations utilizing the model components such as dynamic PEM-Fuel Cell (PEMFC) system modeled by NARX network, Ni-MH battery system, DC/AC converters, PMAC traction motor and a power sharing controller. The proposed hybrid electric vehicle with two control strategies are modeled and evaluated in a MATLAB/Simulink environment. Simulations and comparison results shows that the PEMFC system assisted by battery during peak power demand accomplishes an improved fuel economy of hydrogen consumption and maximizes the battery SOC at the end of the driving schedule in a safe operating limit, which has a greater influence on the battery life cycle. Also, a comparative analysis is performed for the suitable selection of PMAC motor power rating to be adopted into the proposed vehicle model based on the fuel economy and efficient utilization of the battery.

Keywords

• PEM fuel cell; Ni-MH Battery; NARX Recurrent Neural Network ; Power sharing control strategy; Hybrid Electric vehicle; Fuel economy.

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