Synthesis of Pontryagin's Maximum Principle Analysis for Speed Profile Optimization of All-Electric Vehicles

Author:

Abbas Hadi1,Kim Youngki1,Siegel Jason B.2,Rizzo Denise M.3

Affiliation:

1. Department of Mechanical Engineering, University of Michigan-Dearborn, Dearborn, MI 48128 e-mail:

2. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109

3. U.S. Army CCDC Ground Vehicle Systems Center, Warren, MI 48397

Abstract

This paper presents a study of the energy-efficient operation of all-electric vehicles leveraging route information, such as road grade, to adjust the velocity trajectory. First, Pontryagin's maximum principle (PMP) is applied to derive necessary conditions and to determine the possible operating modes. The analysis shows that only five modes are required to achieve minimum energy consumption: full propulsion, cruising, coasting, full regeneration, and full regeneration with conventional braking. Then, the minimum energy consumption problem is reformulated and solved in the distance domain using dynamic programming to find the optimal speed profiles. Various simulation results are shown for a lightweight autonomous military vehicle. The sensitivity of energy consumption to regenerative-braking power limits and trip time is investigated. These studies provide important information that can be used in designing component size and scheduling operation to achieve the desired vehicle range.

Funder

Automotive Research Center

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference32 articles.

1. Vision and Navigation for the Carnegie Mellon Navlab;Linkwitz,1989

2. Geng, X., Liang, H., Xu, H., Yu, B., and Zhu, M., 2016, “Human-Driver Speed Profile Modeling for Autonomous Vehicle's Velocity Strategy on Curvy Paths,” IEEE Intelligent Vehicles Symposium (IV), Gothenburg, Sweden, June 19–22, pp. 755–760.10.1109/IVS.2016.7535472

3. Optimal Energy Management for an Electric Vehicle in Eco-Driving Applications;Control Eng. Pract.,2014

4. Integrated Optimal Eco-Driving on Rolling Terrain for Hybrid Electric Vehicle With Vehicle-Infrastructure Communication;Transp. Res. Part C: Emerg. Technol.,2016

5. Optimal Ecodriving Control: Energy-Efficient Driving of Road Vehicles as an Optimal Control Problem;IEEE Control Syst.,2015

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