Research on dynamic control strategy of a hev based on drivability optimization

Donghao Zhang; Changle Xiang; Lijin Han; Hailiang Zheng

doi:10.3969/j.issn.1004-132X.2015.11.021

Research on dynamic control strategy of a hev based on drivability optimization

Donghao Zhang, Changle Xiang, Lijin Han, Hailiang Zheng

School of Mechanical Engineering

Beijing Institute of Technology

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

2 Citations (Scopus)

Abstract

To solve the optimal control problem of HEVs during the dynamic process, a dynamic control strategy was proposed based on drivability optimization. A control-oriented dynamic power distribution model was established according to the characteristics of the power-split hybrid electric system. Based on the driver's expected status and the vehicle's actual status, the index function of the drivability was come up with. A control strategy satisfying the drivability was presented firstly. The dynamic characteristics of the different components and the speed tracing requirements of the engine were fully considered in the optimization model. Additionally, a real-time optimization algorithm of the drivability was proposed. It can be seen from the simulation results that this control method improves the drivability dramatically without scarifying the fuel economy.

Original language	English
Pages (from-to)	1550-1555
Number of pages	6
Journal	Zhongguo Jixie Gongcheng/China Mechanical Engineering
Volume	26
Issue number	11
DOIs	https://doi.org/10.3969/j.issn.1004-132X.2015.11.021
Publication status	Published - 10 Jun 2015

Keywords

Control strategy
Drivability
Dynamic optimization
Hybrid electric vehicle (HEV)

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10.3969/j.issn.1004-132X.2015.11.021

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abstract = "To solve the optimal control problem of HEVs during the dynamic process, a dynamic control strategy was proposed based on drivability optimization. A control-oriented dynamic power distribution model was established according to the characteristics of the power-split hybrid electric system. Based on the driver's expected status and the vehicle's actual status, the index function of the drivability was come up with. A control strategy satisfying the drivability was presented firstly. The dynamic characteristics of the different components and the speed tracing requirements of the engine were fully considered in the optimization model. Additionally, a real-time optimization algorithm of the drivability was proposed. It can be seen from the simulation results that this control method improves the drivability dramatically without scarifying the fuel economy.",

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AU - Xiang, Changle

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AB - To solve the optimal control problem of HEVs during the dynamic process, a dynamic control strategy was proposed based on drivability optimization. A control-oriented dynamic power distribution model was established according to the characteristics of the power-split hybrid electric system. Based on the driver's expected status and the vehicle's actual status, the index function of the drivability was come up with. A control strategy satisfying the drivability was presented firstly. The dynamic characteristics of the different components and the speed tracing requirements of the engine were fully considered in the optimization model. Additionally, a real-time optimization algorithm of the drivability was proposed. It can be seen from the simulation results that this control method improves the drivability dramatically without scarifying the fuel economy.

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KW - Dynamic optimization

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Research on dynamic control strategy of a hev based on drivability optimization

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