A Novel A Novel Hybrid Energy Storage System with an Adaptive Digital Filter−Based Energy Management Strategy for Electric Vehicles

Yu Lin Lee, Chang Hua Lin, Chun Hsin Chang, Hwa Dong Liu, Chun Cheng Chen

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to develop a novel hybrid energy storage system (HESS) with an adaptive digital filter−based energy management strategy (ADFBEMS) for electric vehicles. The proposed HESS comprises a lithium-ion supercapacitor (SC) and a battery module. An interleaved boost converter with synchronous rectification, which can achieve the load power distribution function, connects the SC with the battery module. Furthermore, the proposed ADFBEMS utilizes the sliding discrete fast Fourier transform (SDFFT) to track the instant load spectrum and the low−pass filter with the adaptive cut−off frequency to realize the load distribution based on frequency, where the SCs take charge of the load’s high-frequency component, and the battery module supplies the rest of the load component. A model of the proposed HESS with ADFBEMS is developed in MATLAB and verified through the hardware experiments under the worldwide harmonized light vehicles test cycle (WLTC) Class 1. Both the simulation and hardware experimental results prove the proposed HESS with ADFBEMS’s effectiveness by comparing it with the traditional filter−based (fixed cut−off frequency) energy management strategy. With the help of the proposed HESS with ADFBEMS, the △Pstress and the high−frequency ratio (HFR) can be reduced by 11.06% and 27.46 %, which was beneficial to the battery module’s lifetime.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Transportation Electrification
DOIs
Publication statusAccepted/In press - 2023

Keywords

  • Adaptive filters
  • Batteries
  • Digital filters
  • Energy management
  • Energy storage
  • Maximum likelihood detection
  • Nonlinear filters
  • adaptive digital filter−based energy storage system (ADFBEMS)
  • hybrid energy storage system (HESS)
  • interleaved boost converter with synchronous rectification
  • sliding discrete fast Fourier transform (SDFFT)

ASJC Scopus subject areas

  • Automotive Engineering
  • Transportation
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A Novel A Novel Hybrid Energy Storage System with an Adaptive Digital Filter−Based Energy Management Strategy for Electric Vehicles'. Together they form a unique fingerprint.

Cite this