Abstract

In this paper, an adaptive nonlinear control strategy for the energy management of a polymer electrolyte membrane fuel cell and supercapacitor-based hybrid electric vehicle is proposed. The purpose of this work was to satisfy: (i) tight DC bus voltage regulation, (ii) good fuel cell reference current tracking, (iii) better supercapacitor reference current tracking (iv) global asymptotic stability of the closed-loop control system, and (v) better vehicle performance by catering to slowly-varying parameters. We have selected the power stage schematic of a hybrid electric vehicle and utilized adaptive backstepping and adaptive Lyapunov redesign-based nonlinear control methods to formally derive adaptive parametric update laws for all slowly-varying parameters. The performance of the proposed system has been tested under varying load conditions using experimental data from the “Extra Urban Driving Cycle.” Mathematical analysis and Matlab/Simulink results show that proposed controllers are globally asymptotically stable and satisfy all the design requirements. The physical effectiveness of proposed system has been verified by comparing simulation results with the real-time controller hardware in the loop experimental results. Results show that proposed system shows satisfactory performance and caters for the time-varying parametric variations and the load requirements.

Highlights

  • Research on alternate energy sources has gained interest because of the global energy crisis and continuously decreasing fossil fuel reserves

  • Simulation results of proposed controllers are presented for Hybrid electric vehicles (HEVs)

  • Simulation results were validated in real-time using hardware in the loop (HIL) experiments and the results are presented

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Summary

Introduction

Research on alternate energy sources has gained interest because of the global energy crisis and continuously decreasing fossil fuel reserves. Trucks, buses, and cars are the major sources of air pollution [1]. Vehicle manufactures are working on electric vehicles (EVs) in order to meet increasing demands of the consumers for fuel-efficient, clean-energy vehicles [2]. Hybrid electric vehicles (HEVs) provide us an opportunity to resolve the problems related to decreasing oil reserves, global warming and tailpipe pollution [3,4,5]. Multiple energy sources are required to meet the desired power and load requirements of HEVs [6,7,8]. Hybrid energy storage systems (HESS) utilize energy coming from multiple sources by keeping in view the characteristics of each source

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