Study on load performance of electric motor system used in hybrid electric vehicle

Wen Li; Chengning Zhang; Zhifu Wang; Lei Gao

doi:10.3772/j.issn.1006-6748.2010.01.012

Study on load performance of electric motor system used in hybrid electric vehicle

Wen Li^*
, Chengning Zhang
, Zhifu Wang
, Lei Gao

^*此作品的通讯作者

Beijing Institute of Technology
New Energy Vehicle Division SAIC Motor Corporation Limited

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

The performance of the power assist, global optimization solved by dynamic programming (DP) method, Chery and Insight control strategies are analyzed using the mild parallel hybrid electric vehicle (PHEV) model based on Insight structure. The influence of the four control strategies to the load power of the electric motor system used on parallel hybrid electric vehicle is studied. It is found that 80 percent of the motor load power points are under 1/5 of the electric peak power. The motor load power of the power assist control strategy is distributed in the widest range during generating operation, and the motor load power of the global optimization control strategy has the smallest one.

源语言	英语
页（从-至）	63-66
页数	4
期刊	High Technology Letters
卷	16
期	1
DOI	https://doi.org/10.3772/j.issn.1006-6748.2010.01.012
出版状态	已出版 - 3月 2010
已对外发布	是

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abstract = "The performance of the power assist, global optimization solved by dynamic programming (DP) method, Chery and Insight control strategies are analyzed using the mild parallel hybrid electric vehicle (PHEV) model based on Insight structure. The influence of the four control strategies to the load power of the electric motor system used on parallel hybrid electric vehicle is studied. It is found that 80 percent of the motor load power points are under 1/5 of the electric peak power. The motor load power of the power assist control strategy is distributed in the widest range during generating operation, and the motor load power of the global optimization control strategy has the smallest one.",

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AU - Li, Wen

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N2 - The performance of the power assist, global optimization solved by dynamic programming (DP) method, Chery and Insight control strategies are analyzed using the mild parallel hybrid electric vehicle (PHEV) model based on Insight structure. The influence of the four control strategies to the load power of the electric motor system used on parallel hybrid electric vehicle is studied. It is found that 80 percent of the motor load power points are under 1/5 of the electric peak power. The motor load power of the power assist control strategy is distributed in the widest range during generating operation, and the motor load power of the global optimization control strategy has the smallest one.

AB - The performance of the power assist, global optimization solved by dynamic programming (DP) method, Chery and Insight control strategies are analyzed using the mild parallel hybrid electric vehicle (PHEV) model based on Insight structure. The influence of the four control strategies to the load power of the electric motor system used on parallel hybrid electric vehicle is studied. It is found that 80 percent of the motor load power points are under 1/5 of the electric peak power. The motor load power of the power assist control strategy is distributed in the widest range during generating operation, and the motor load power of the global optimization control strategy has the smallest one.

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Study on load performance of electric motor system used in hybrid electric vehicle

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