Parameters optimization for the energy management system of hybrid electric vehicle

Chyuan Yow Tseng; Yi Hsuan Hung; Chien Hsiung Tsai; Yu Jen Huang

doi:10.1117/12.784226

Parameters optimization for the energy management system of hybrid electric vehicle

Chyuan Yow Tseng, Yi Hsuan Hung, Chien Hsiung Tsai, Yu Jen Huang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Hybrid electric vehicle (HEV) has been widely studied recently due to its high potential in reduction of fuel consumption, exhaust emission, and lower noise. Because of comprised of two power sources, the HEV requires an energy management system (EMS) to distribute optimally the power sources for various driving conditions. The ITRI in Taiwan has developed a HEV consisted of a 2.2L internal combustion engine (ICE), a 18KW motor/generator (M/G), a 288V battery pack, and a continuous variable transmission (CVT). The task of the present study is to design an energy management strategy of the EMS for the HEV. Due to the nonlinear nature and the fact of unknown system model of the system, a kind of simplex method based energy management strategy is proposed for the HEV system. The simplex method is a kind of optimization strategy which is generally used to find out the optimal parameters for un-modeled systems. The way to apply the simplex method for the design of the EMS is presented. The feasibility of the proposed method was verified by perform numerical simulation on the FTP75 drive cycles.

Original language	English
Title of host publication	ICMIT 2007
Subtitle of host publication	Mechatronics, MEMS, and Smart Materials
Volume	6794
DOIs	https://doi.org/10.1117/12.784226
Publication status	Published - 2007 Dec 1
Externally published	Yes
Event	ICMIT 2007: International Conference on Mechatronics and Information Technology 2007 - Mechatronics, MEMS, and Smart Materials - Gifu, Japan Duration: 2007 Dec 5 → 2007 Dec 6

Other

Other	ICMIT 2007: International Conference on Mechatronics and Information Technology 2007 - Mechatronics, MEMS, and Smart Materials
Country	Japan
City	Gifu
Period	07/12/5 → 07/12/6

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ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Cite this

Tseng, C. Y., Hung, Y. H., Tsai, C. H., & Huang, Y. J. (2007). Parameters optimization for the energy management system of hybrid electric vehicle. In ICMIT 2007: Mechatronics, MEMS, and Smart Materials (Vol. 6794). [67940I] https://doi.org/10.1117/12.784226

Tseng, CY, Hung, YH, Tsai, CH & Huang, YJ 2007, Parameters optimization for the energy management system of hybrid electric vehicle. in ICMIT 2007: Mechatronics, MEMS, and Smart Materials. vol. 6794, 67940I, ICMIT 2007: International Conference on Mechatronics and Information Technology 2007 - Mechatronics, MEMS, and Smart Materials, Gifu, Japan, 07/12/5. https://doi.org/10.1117/12.784226

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abstract = "Hybrid electric vehicle (HEV) has been widely studied recently due to its high potential in reduction of fuel consumption, exhaust emission, and lower noise. Because of comprised of two power sources, the HEV requires an energy management system (EMS) to distribute optimally the power sources for various driving conditions. The ITRI in Taiwan has developed a HEV consisted of a 2.2L internal combustion engine (ICE), a 18KW motor/generator (M/G), a 288V battery pack, and a continuous variable transmission (CVT). The task of the present study is to design an energy management strategy of the EMS for the HEV. Due to the nonlinear nature and the fact of unknown system model of the system, a kind of simplex method based energy management strategy is proposed for the HEV system. The simplex method is a kind of optimization strategy which is generally used to find out the optimal parameters for un-modeled systems. The way to apply the simplex method for the design of the EMS is presented. The feasibility of the proposed method was verified by perform numerical simulation on the FTP75 drive cycles.",

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Access to Document

10.1117/12.784226