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An IDP-Based Adaptive Range-Domain Predictive Cruise Control Strategy of Intelligent Connected Heavy-Duty Commercial Vehicles
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Xingkun Li1, 2, Guohui Wang2, 3, Ziwang Lu1, Yuhai Wang4, Yufeng Wang1, Guangyu Tian1
Automotive Engineering | 2024, 46(8) : 1346 - 1356
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Automotive Engineering | 2024, 46(8): 1346-1356
An IDP-Based Adaptive Range-Domain Predictive Cruise Control Strategy of Intelligent Connected Heavy-Duty Commercial Vehicles
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Xingkun Li1, 2, Guohui Wang2, 3, Ziwang Lu1, Yuhai Wang4, Yufeng Wang1, Guangyu Tian1
Affiliations
  • 1. Tsinghua University，State Key Laboratory of Automotive Safety and Energy，Beijing 100084
  • 2. Beijing Yujun Automotive Technology Research Institute Co. ，Ltd. ，Beijing 100020
  • 3. Qingdao Yu Le Intelligent Technology Co. ，Ltd. ，Qingdao 266000
  • 4. Faw Jiefang Qingdao Automobile Co. ，Ltd. ，Qingdao 266000
Published: 2024-08-25 doi: 10.19562/j.chinasae.qcgc.2024.08.002
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In order to reduce fuel consumption and transportation cost of heavy-duty truck， this paper coordinates the human-vehicle-road interaction system， integrates multi-dimensional information of vehicles and intelligent network environment， and proposes an adaptive range-domain predictive cruise control strategy （ARPCC） based on iterative dynamic programming （IDP）. Firstly， by combining the vehicle status and multi-dimensional information of the front environment， an adaptive distance domain model is established based on the longitudinal dynamics of the vehicle to reconstruct the road network， simplify the number of grids， and obtain the global optimal speed sequence by IDP. Secondly， on the basis of the global optimal speed sequence， the segmented optimal speed sequence taken from the adaptive distance domain is obtained to realize the fast solution of vehicle control state. Finally， Matlab/Simulink is used to verify the results， and the results show that the algorithm can effectively improve the computational efficiency and vehicle fuel economy by reducing the grid several times.

heavy-duty commercial vehicles  /  adaptive distance domain  /  predictive cruise  /  iterative dynamic programming
Xingkun Li, Guohui Wang, Ziwang Lu, Yuhai Wang, Yufeng Wang, Guangyu Tian. An IDP-Based Adaptive Range-Domain Predictive Cruise Control Strategy of Intelligent Connected Heavy-Duty Commercial Vehicles[J]. Automotive Engineering, 2024 , 46 (8) : 1346 -1356 . DOI: 10.19562/j.chinasae.qcgc.2024.08.002
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.08.002
  • Receive Date：2024-03-03
  • Online Date：2025-07-29
  • Published：2024-08-25
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History
  • Received：2024-03-03
  • Revised：2024-04-01
Funding
Affiliations
    1. Tsinghua University，State Key Laboratory of Automotive Safety and Energy，Beijing 100084
    2. Beijing Yujun Automotive Technology Research Institute Co. ，Ltd. ，Beijing 100020
    3. Qingdao Yu Le Intelligent Technology Co. ，Ltd. ，Qingdao 266000
    4. Faw Jiefang Qingdao Automobile Co. ，Ltd. ，Qingdao 266000
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https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2024.08.002
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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