Research on Control Strategy of Pure Electric Bulldozers Based on Vehicle Speed

This study proposes a hierarchical drive control system to ensure speed stability in dual-motor tracked vehicles operating under complex terrain and heavy-load conditions. The system adopts a two-layer structure. At the upper level, the sliding mode controller is designed for both longitudinal speed regulation and yaw rate control, thereby stabilizing straight line motion and the steering maneuvers. At the lower level, a synchronization mechanism aligns the velocities of the two motors, enhancing the vehicle’s robustness against speed fluctuations. Simulation results demonstrate that, across both heavy load and light load bulldozing scenarios, the deviation between the controller output and the reference command remains within 5%. These findings confirm the accuracy of the control implementation and validate the effectiveness of the proposed framework.

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Publication Details

Journal
Energies
Published
2025-09-26
DOI
https://doi.org/10.3390/en18195136
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
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article

Research on Control Strategy of Pure Electric Bulldozers Based on Vehicle Speed

Wenbo Chen, Congfeng Tian, Xiangjie Huang, G. Shen et al.
Energies
Electric and Hybrid Vehicle Technologies
article

Research on Control Strategy of Pure Electric Bulldozers Based on Vehicle Speed

Wenbo Chen, Congfeng Tian, Xiangjie Huang, G. Shen, Jin-Wei Wang, Quancheng Dong
article en

Abstract

This study proposes a hierarchical drive control system to ensure speed stability in dual-motor tracked vehicles operating under complex terrain and heavy-load conditions. The system adopts a two-layer structure. At the upper level, the sliding mode controller is designed for both longitudinal speed regulation and yaw rate control, thereby stabilizing straight line motion and the steering maneuvers. At the lower level, a synchronization mechanism aligns the velocities of the two motors, enhancing the vehicle’s robustness against speed fluctuations. Simulation results demonstrate that, across both heavy load and light load bulldozing scenarios, the deviation between the controller output and the reference command remains within 5%. These findings confirm the accuracy of the control implementation and validate the effectiveness of the proposed framework.

EnergiesVol. 18(19)
University of Jinan (CN), Shantui (China) (CN)
Openalex Percentile: Top 71%
Electric and Hybrid Vehicle Technologies
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Research on Control Strategy of Pure Electric Bulldozers Based on Vehicle Speed — Wenbo Chen, Congfeng Tian, et al. · Energies (2025) | TGRS Research Map | TGRS