Paper
7 January 2008 Parameters optimization for the energy management system of hybrid electric vehicle
Chyuan-Yow Tseng, Yi-Hsuan Hung, Chien-Hsiung Tsai, Yu-Jen Huang
Author Affiliations +
Proceedings Volume 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials; 67940I (2008) https://doi.org/10.1117/12.784226
Event: ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 2007, Gifu, Japan
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chyuan-Yow Tseng, Yi-Hsuan Hung, Chien-Hsiung Tsai, and Yu-Jen Huang "Parameters optimization for the energy management system of hybrid electric vehicle", Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67940I (7 January 2008); https://doi.org/10.1117/12.784226
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KEYWORDS
System on a chip

Systems modeling

Complex systems

Amplifiers

Combustion

Numerical simulations

Algorithm development

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