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

^*Corresponding author for this work

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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	63-66
Number of pages	4
Journal	High Technology Letters
Volume	16
Issue number	1
DOIs	https://doi.org/10.3772/j.issn.1006-6748.2010.01.012
State	Published - Mar 2010
Externally published	Yes

Keywords

Management strategy
Motor load power
Parallel hybrid electric vehicle (PHEV)

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Cite this

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title = "Study on load performance of electric motor system used in hybrid electric vehicle",

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 - Wang, Zhifu

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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.

KW - Management strategy

KW - Motor load power

KW - Parallel hybrid electric vehicle (PHEV)

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SP - 63

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JO - High Technology Letters

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IS - 1

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

Abstract

Keywords

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