Coordinated predictive cruise and coasting control for energy saving in heavy-duty trucks
High fuel consumption in heavy-duty trucks contributes significantly to operating costs and carbon dioxide (CO 2 ) emissions. While predictive cruise control (PCC) is an effective technology for optimizing vehicle speed, its energy-saving potential can be further enhanced. This paper proposes a fused control strategy that synergizes the PCC system with an intelligent, multi-mode coasting function. The algorithm leverages the PCC-generated speed trajectory to make optimal decisions between in-gear and neutral coasting, thereby maximizing the use of vehicle inertia. Simulations, benchmarked against a conventional PCC system, demonstrate that the proposed strategy achieves an additional energy saving of up to 5.73%, with a corresponding reduction in CO 2 emissions.
Authors
- Xiaoxiang Na (ORCID: https://orcid.org/0000-0002-6524-7122)
- Yue Liu (ORCID: https://orcid.org/0000-0002-3192-6020)
- Jinlong Hong (ORCID: https://orcid.org/0000-0001-7083-3794)
- Junjiao Zhu
- Minghong Li (ORCID: https://orcid.org/0000-0002-3117-5271)
- Mengjian Tian
Institutions
- Tongji University (CN)
- University of Illinois Urbana-Champaign (US)
- University of Cambridge (GB)
- Shenzhen Technology University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Advances in Mechanical Engineering
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1177/16878132251403630
- Primary Topic
- Vehicle emissions and performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00