Nonlinear model predictive control of battery electric vehicle with slope information

German Valenzuela, Taketoshi Kawabe, Masakazu Mukai

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

3 Citations (Scopus)

Abstract

This paper introduces a model predictive control approach for the energy management problem of a battery electric vehicle (BEV) system with slope information. The features of this study are as follows. The BEV physical constraints and the battery state of charge (SOC) are addressed in the cost function of optimal control problem with a model of the battery electric vehicle system. Nonlinear real-time optimal control problem in the BEV system is solved using numerical computation method: continuation and generalized minimum residual method. This approach in the BEV system uses terrain information from digital maps to calculate the desired SOC for better recuperation of free braking energy. We conclude that the model predictive control approach is effective for the application of battery management systems for BEV and has the potential for real-time implementation. The effectiveness of the proposed algorithm in the energy management of BEVs is compared with a proportional-integral control method approach.

Original languageEnglish
Title of host publication2014 IEEE International Electric Vehicle Conference, IEVC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960750
DOIs
Publication statusPublished - Jan 1 2014
Event2014 IEEE International Electric Vehicle Conference, IEVC 2014 - Florence, Italy
Duration: Dec 17 2014Dec 19 2014

Publication series

Name2014 IEEE International Electric Vehicle Conference, IEVC 2014

Other

Other2014 IEEE International Electric Vehicle Conference, IEVC 2014
CountryItaly
CityFlorence
Period12/17/1412/19/14

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Automotive Engineering

Cite this

Valenzuela, G., Kawabe, T., & Mukai, M. (2014). Nonlinear model predictive control of battery electric vehicle with slope information. In 2014 IEEE International Electric Vehicle Conference, IEVC 2014 [7056104] (2014 IEEE International Electric Vehicle Conference, IEVC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEVC.2014.7056104