A battery management system using nonlinear model predictive control for a hybrid electric vehicle

Kaijiang Yu, Masakazu Mukai, Taketoshi Kawabe

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

13 Citations (Scopus)

Abstract

This present paper introduces a battery management system using nonlinear model predictive control for a hybrid electric vehicle. This paper adds two new contributions to this field. First, the apparent relationship between the battery power and the future road load is addressed in the cost function of the fuel economy optimal control problem with a simplified hybrid electric vehicle energy management system model. Second, it examines quantitatively the effects of operating the engine along the best efficiency line of the engine with a continuously variable transmission using a commercially available hybrid electric vehicle energy management electronic control unit simulator. Effectiveness of the proposed algorithm is validated by the JSAE-SICE benchmark problem II simulator.

Original languageEnglish
Title of host publication7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings
Pages301-306
Number of pages6
EditionPART 1
DOIs
Publication statusPublished - Oct 24 2013
Event7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Tokyo, Japan
Duration: Sep 4 2013Sep 7 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume7
ISSN (Print)1474-6670

Other

Other7th IFAC Symposium on Advances in Automotive Control, AAC 2013
CountryJapan
CityTokyo
Period9/4/139/7/13

Fingerprint

Model predictive control
Hybrid vehicles
Simulators
Engines
Energy management systems
Energy management
Fuel economy
Cost functions
Battery management systems

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Yu, K., Mukai, M., & Kawabe, T. (2013). A battery management system using nonlinear model predictive control for a hybrid electric vehicle. In 7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings (PART 1 ed., pp. 301-306). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 7, No. PART 1). https://doi.org/10.3182/20130904-4-JP-2042.00015

A battery management system using nonlinear model predictive control for a hybrid electric vehicle. / Yu, Kaijiang; Mukai, Masakazu; Kawabe, Taketoshi.

7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings. PART 1. ed. 2013. p. 301-306 (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 7, No. PART 1).

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

Yu, K, Mukai, M & Kawabe, T 2013, A battery management system using nonlinear model predictive control for a hybrid electric vehicle. in 7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings. PART 1 edn, IFAC Proceedings Volumes (IFAC-PapersOnline), no. PART 1, vol. 7, pp. 301-306, 7th IFAC Symposium on Advances in Automotive Control, AAC 2013, Tokyo, Japan, 9/4/13. https://doi.org/10.3182/20130904-4-JP-2042.00015
Yu K, Mukai M, Kawabe T. A battery management system using nonlinear model predictive control for a hybrid electric vehicle. In 7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings. PART 1 ed. 2013. p. 301-306. (IFAC Proceedings Volumes (IFAC-PapersOnline); PART 1). https://doi.org/10.3182/20130904-4-JP-2042.00015
Yu, Kaijiang ; Mukai, Masakazu ; Kawabe, Taketoshi. / A battery management system using nonlinear model predictive control for a hybrid electric vehicle. 7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings. PART 1. ed. 2013. pp. 301-306 (IFAC Proceedings Volumes (IFAC-PapersOnline); PART 1).
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