A finite-set model-based predictive battery thermal management in connected and automated hybrid electric vehicles

Chong Zhu, Fei Lu, Hua Zhang, Kangxi Zhu, Chris Mi

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

2 Scopus citations

Abstract

The connected and automated hybrid electric vehicles (CAHEVs) have the potential to improve safety by mitigating traffic accidents. A crucial problem of the CAHEVs is that the Lithium-ion batteries are highly temperature-sensitive and may be premature aging at high working temperatures. Consequently, an effective and efficient battery thermal management (BTM) system is required with the minimum possible cooling energy consumption. To achieve the multiple objectives, a finite-set model-based (FSMB) predictive control strategy for the BTM in a CAHEV is presented, in which an improved cost function is proposed for better performances. Based on the predictive model of battery temperatures, the optimum cooling approach is determined with consideration of the future road information and battery charge/discharge power. The hardware-in-the-loop (HIL) test based on a Toyota Prius HEV model and the UDDS road cycle is conducted, and the results demonstrate the effectiveness of the proposed BTM strategy in both temperature control and energy saving.

Original languageEnglish (US)
Title of host publicationAPEC 2018 - 33rd Annual IEEE Applied Power Electronics Conference and Exposition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3428-3433
Number of pages6
ISBN (Electronic)9781538611807
DOIs
StatePublished - Apr 18 2018
Externally publishedYes
Event33rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2018 - San Antonio, United States
Duration: Mar 4 2018Mar 8 2018

Publication series

NameConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
Volume2018-March

Conference

Conference33rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2018
Country/TerritoryUnited States
CitySan Antonio
Period3/4/183/8/18

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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