A Novel Approach for Maximizing Regenerative Braking Energy Extraction of Electric Vehicles Using Motor Performance Lookup Table

Shoeib Heydari, Poria Fajri, Reza Sabzehgar, Mohammad Rasouli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper proposes a new approach for determining the low-speed boundary at which regenerative braking capability of Electric Vehicles (EVs) is still effective. The regenerative braking boundary at low speeds depends on many different factors influenced by driver behavior and driving conditions that are challenging to measure and predict. Thus, utilizing a lookup table, which covers various operating conditions, can be an effective method to dynamically determine this boundary. In the proposed method, the performance of the electric motor and its controller are extracted for different operating points and the results are stored in a lookup table. The motor performance curve obtained from this lookup table is then utilized in the vehicle brake controller to define the regenerative braking boundary and accurately adjust the blending of regenerative-and friction-based brakes with the goal of maximizing energy extraction. A MATLAB/SIMULINK model that represents the vehicle electric motor and road-load conditions is utilized to validate the effectiveness of the proposed approach. The results show an increase in the harvested energy compared to a case where a constant low-speed threshold is taken into account in the brake controller.

Original languageEnglish (US)
Title of host publicationITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538693100
DOIs
StatePublished - Jun 2019
Event2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019 - Novi, United States
Duration: Jun 19 2019Jun 21 2019

Publication series

NameITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo

Conference

Conference2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019
CountryUnited States
CityNovi
Period6/19/196/21/19

All Science Journal Classification (ASJC) codes

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

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    Heydari, S., Fajri, P., Sabzehgar, R., & Rasouli, M. (2019). A Novel Approach for Maximizing Regenerative Braking Energy Extraction of Electric Vehicles Using Motor Performance Lookup Table. In ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo [8790633] (ITEC 2019 - 2019 IEEE Transportation Electrification Conference and Expo). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC.2019.8790633