Integrated vehicle and powertrain optimization for passenger vehicles with vehicle-infrastructure communication |
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| Affiliation: | 1. Office of Operation Research and Development, Federal Highway Administration, United States;2. Department of Mechanical Engineering, University of Minnesota, United States;1. Department of Mechanical Engineering, University of Minnesota, 111 Church Street SE, Minneapolis, MN 55455, United States;2. Department of Civil and Environmental Engineering, University of Michigan, 2350 Hayward Street, 2340 GG Brown Building, Ann Arbor, MI 48109, United States;3. Office of Operation Research and Development, Federal Highway Administration (FHWA), United States;1. Department of Mechanical Engineering, University of Minnesota, 111 Church Street SE, Minneapolis, MN 55455, United States;2. Department of Civil Engineering, University of Minnesota, 500 Pillsbury Drive SE, Minneapolis, MN 55455, United States;1. Ford Motor Company, Dearborn, MI 48120, USA;2. Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH 43210, USA;1. NEXTRANS Center, Purdue University, 3000 Kent Avenue, West Lafayette, IN 47906, United States;2. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan, China;3. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, United States;4. University of Michigan Transportation Research Institute, University of Michigan, Ann Arbor, MI 48109, United States;5. National-Local Association Laboratory of Comprehensive Transportation Intelligentization, Southwest Jiaotong University, Chengdu, Sichuan, China |
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| Abstract: | This research proposes an optimal controller to improve fuel efficiency for a vehicle equipped with automatic transmission traveling on rolling terrain without the presence of a close preceding vehicle. Vehicle acceleration and transmission gear position are optimized simultaneously to achieve a better fuel efficiency. This research leverages the emerging Connected Vehicle technology and utilizes present and future information—such as real-time dynamic speed limit, vehicle speed, location and road topography—as optimization input. The optimal control is obtained using the Relaxed Pontryagin’s Minimum Principle. The benefit of the proposed optimal controller is significant compared to the regular cruise control and other eco-drive systems. It varies with the hill length, grade, and the number of available gear positions. It ranges from an increased fuel saving of 18–28% for vehicles with four-speed transmission and 25–45% for vehicles with six-speed transmission. The computational time for the optimization is 1.0–2.1 s for the four-speed vehicle and 1.8–3.9 s for the six-speed vehicle, given a 50 s optimization time horizon and 0.1 s time step. The proposed controller can potentially be used in real-time. |
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| Keywords: | Eco-driving Connected vehicle Fuel efficiency Powertrian and speed integrated control Rolling terrains |
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