A Minimum Principle-Based Algorithm for Energy-Efficient Eco-Driving of Electric Vehicles in Various Traffic and Road Conditions

Journal Article · Tue Jul 21 00:00:00 EDT 2020 · IEEE Transactions on Intelligent Vehicles

DOI:https://doi.org/10.1109/tiv.2020.3011055· OSTI ID:1763896

Shen, Daliang ^[1]; Karbowski, Dominik ^[1]; Rousseau, Aymeric ^[1]

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1. Argonne National Lab. (ANL), Argonne, IL (United States)

Our report presents an optimization algorithm for energy-efficient driving of electric vehicles. The algorithm is based on Pontryagin’s Minimum Principle by considering the driving mission as an optimal control problem. On a planned route, diverse application cases may occur due to various physical traits such as powertrain (e.g., switching between motor and generator operation), environmental variations (e.g., terrain grade change), traffic laws (e.g., speed limits), and safety concerns (e.g., headway to the leading vehicle). The proposed algorithm handles these real-world challenges by considering the perturbation to the system dynamics and the constraints to the control and state variables.

• Research Organization: Argonne National Laboratory (ANL), Argonne, IL (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office
• Grant/Contract Number: AC02-06CH11357
• OSTI ID: 1763896
• Journal Information: IEEE Transactions on Intelligent Vehicles, Journal Name: IEEE Transactions on Intelligent Vehicles Journal Issue: 4 Vol. 5; ISSN 2379-8858
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

33 ADVANCED PROPULSION SYSTEMS
Boundary conditions
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Electric vehicles
Intelligent vehicles
Optimal control