Energy Management Strategy Using Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles

Fazhan Tao,Longlong Zhu,Pengju Si,Baofeng Ji,Zhumu Fu,Xingwang Li

doi:10.1155/2020/6642304

Abstract

In this paper, an energy management strategy for electric vehicles equipped with fuel cell (FC), battery (BAT), and supercapacitor (SC) is considered, aiming at improving the whole performance under a framework of vehicle to network application. In detail, based on wavelet transform and equivalent consumption minimization strategy (ECMS), the demand power of vehicles is optimized to enhance the lifespan of fuel cell, fuel economy, and dynamic performance of electric vehicles. The wavelet transform is used to separate the high-frequency power in order to provide a peak power and recycle the braking energy. The equivalent consumption minimization strategy is used to distribute the low-frequency power to fuel cell and battery for minimizing the hydrogen consumption. Obtained results are studied using an advanced vehicle simulator, and its effectiveness of the strategy is confirmed, which provides a fundamental control method for the IOV application.

Highlights

As the development of automobile industry has reached a certain level [1,2,3,4], it leads to some issues, such as environmental pollution, global warming, energy crisis, and the growing number of traffic congestion and accidents
As for the energy management strategy for hybrid electric vehicles equipped with fuel cell (FC), BAT, and SC (FCHEV), it has an important role in the performance of hybrid electric system, which can be roughly classified into rule-based EMS and optimization-based EMS from the optimization aspects [14,15,16,17,18,19,20,21,22,23]
Energy management strategy using equivalent consumption minimization strategy is proposed for improving fuel cell efficiency and extending fuel cell lifespan. e proposed EMS separated required power into two components by Wavelet transform (WT)

Summary

Introduction

As the development of automobile industry has reached a certain level [1,2,3,4], it leads to some issues, such as environmental pollution, global warming, energy crisis, and the growing number of traffic congestion and accidents. In [21], a novel real-time energy management strategy based on ECMS is proposed, and the equivalent factor is adaptive to the drive conditions to catch energy-saving opportunities during the trip, which improves the fuel economy. In [23], in order to improve fuel economy and adaptability of various driving conditions for online energy management, a hierarchical model predictive control strategy is proposed, the upper controller realizes optimal torque distribution, and the lower controller ensures the tracking performance of engine output torque for the distributed torque from the upper controller. In order to tackle unreasonable energy distribution and low energy utilization rate among various energy sources, energy management strategy based on wavelet transform and equivalent consumption minimization strategy is proposed for the FCHEV.

Modelling for FCHEVs

Energy Management Strategy for FCHEV

Upsampling Reconstruction

Simulation Results

Conclusions