A power distribution strategy for heavy duty HEV with series hybrid powertrain based on model predictive control method

Muyao Wang, Chao Yang*, Weida Wang, Ruihu Chen, Ying Li

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

2 引用 (Scopus)

摘要

Aiming at the problem of power distribution strategy of heavy-duty HEV with series hybrid powertrain, this paper proposed a power distribution strategy based on model predictive control (MPC). The strategy establishes the related energy consumption index and the physical constraints of the whole vehicle. It predicts the power and speed of vehicle powertrain in a given prediction time domain and distributes generator power and motor power reasonably according to the demand power. In order to reduce the computation of solving quadratic programming subproblems, the improved sequential quadratic programming (ISQP) algorithm is involved to solve the rolling horizon optimization problem. To prove the effectiveness of the strategy, the simulation is carried out under a given condition. The simulation results show that the strategy has better fuel economy than the rule-based strategy under the given condition.

源语言英语
页(从-至)72-77
页数6
期刊IFAC-PapersOnLine
54
10
DOI
出版状态已出版 - 2021
活动6th IFAC Conference on Engine Powertrain Control, Simulation and Modeling E-COSM 2021 - Tokyo, 日本
期限: 23 8月 202125 8月 2021

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