Battery component control system design for PHEV based on ECE cycle

Lin Cheng*, Zhou Fengjun, Cao Wanke, Wang Gang, Zhang Xiaohua

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As the key technology of electric vehiclesEV, control systems is always the research hotspot of EV field. When the battery component of HEV operates at charge sustaining (CS) mode, the most important problem is how to split the whole vehicle's required power between engine and battery component reasonably and effectively so as to make the good economy and driving performance. Taking battery component of Plug-in Hybrid Electric Bus as the research object, this paper established the model of feedback control system for battery component. Then the feedback control systems gains are optimized with the objective function of equivalent fuel consumption and accumulated power requirement error, which is based on BUSRTE driving cycle. The obtained gains are testified and verified by NEWYORK and CBDBUS driving cycle respectively. The results indicate that the optimized control system for batteries has good fuel economy and driving performance.

Original languageEnglish
Title of host publicationProceedings - 2012 3rd Global Congress on Intelligent Systems, GCIS 2012
Pages409-412
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 3rd Global Congress on Intelligent Systems, GCIS 2012 - Wuhan, China
Duration: 6 Nov 20128 Nov 2012

Publication series

NameProceedings - 2012 3rd Global Congress on Intelligent Systems, GCIS 2012

Conference

Conference2012 3rd Global Congress on Intelligent Systems, GCIS 2012
Country/TerritoryChina
CityWuhan
Period6/11/128/11/12

Keywords

  • Driving cycle
  • Feedback control
  • Optimization

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Cheng, L., Fengjun, Z., Wanke, C., Gang, W., & Xiaohua, Z. (2012). Battery component control system design for PHEV based on ECE cycle. In Proceedings - 2012 3rd Global Congress on Intelligent Systems, GCIS 2012 (pp. 409-412). Article 6449565 (Proceedings - 2012 3rd Global Congress on Intelligent Systems, GCIS 2012). https://doi.org/10.1109/GCIS.2012.56