Control allocation-based adaptive dynamic coordinated control of compound power-split hybrid electric vehicles

To address the issue of control redundancy and the limited adaptability of the dynamic coordination control strategy (DCCS) during mode transition in compound power-split hybrid vehicles (CPS-HEVs), the paper proposes a control allocation-based adaptive dynamic coordinated control strategy (CABA-DCCS). The proposed method integrates an H ∞ robust controller with an adaptive control allocator. Specifically, an H ∞ state feedback controller is designed using the angular velocity and its integral tracking error as control inputs, resulting in a virtual control law with guaranteed robustness. Subsequently, a control allocator is constructed to minimize control efforts, where the allocation weight coefficients are dynamically tuned via a fuzzy controller that takes acceleration error and speed error as inputs. (While the individual components may not represent entirely novel contributions to control theory, their integration and application to this specific challenge distinguish the proposed strategy from existing methods.) Finally, the strategy is validated through both simulation and hardware-in-the-loop (HiL) testing. Results show that the proposed control approach consistently limits the longitudinal impact of CPS-HEVs to below 10 m/s 3 under different acceleration conditions, significantly enhancing the adaptability of mode transition technology.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2025-08-09
DOI
https://doi.org/10.1177/09544062251353424
Citations
3
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
2.05

Funders

Controls
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article

Control allocation-based adaptive dynamic coordinated control of compound power-split hybrid electric vehicles

Dehua Shi, Chunfang Yin, Chun Li, Shaohua Wang et al.
3 citations
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Electric and Hybrid Vehicle Technologies
2.05
article

Control allocation-based adaptive dynamic coordinated control of compound power-split hybrid electric vehicles

Dehua Shi, Chunfang Yin, Chun Li, Shaohua Wang, Xiangwei Rong
article en
3 citations

Abstract

To address the issue of control redundancy and the limited adaptability of the dynamic coordination control strategy (DCCS) during mode transition in compound power-split hybrid vehicles (CPS-HEVs), the paper proposes a control allocation-based adaptive dynamic coordinated control strategy (CABA-DCCS). The proposed method integrates an H ∞ robust controller with an adaptive control allocator. Specifically, an H ∞ state feedback controller is designed using the angular velocity and its integral tracking error as control inputs, resulting in a virtual control law with guaranteed robustness. Subsequently, a control allocator is constructed to minimize control efforts, where the allocation weight coefficients are dynamically tuned via a fuzzy controller that takes acceleration error and speed error as inputs. (While the individual components may not represent entirely novel contributions to control theory, their integration and application to this specific challenge distinguish the proposed strategy from existing methods.) Finally, the strategy is validated through both simulation and hardware-in-the-loop (HiL) testing. Results show that the proposed control approach consistently limits the longitudinal impact of CPS-HEVs to below 10 m/s 3 under different acceleration conditions, significantly enhancing the adaptability of mode transition technology.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 239(20)
Jiangsu University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 12%
Electric and Hybrid Vehicle Technologies
2.05
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