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Lithium-Ion Battery Design for Transportation Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Increasing the Fuel Economy of Connected and Autonomous Lithium-Ion Electrified Vehicles

Authors : Zachary D. Asher, David A. Trinko, Thomas H. Bradley

Published in: Behaviour of Lithium-Ion Batteries in Electric Vehicles

Publisher: Springer International Publishing

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Abstract

When the sensors and signals that enable connected and autonomous vehicle (CAV) technology are combined with vehicle electrification, new vehicle control strategies that improve fuel economy (FE) are possible through perception, planning, and a control request issued to the vehicle plant. In this chapter, each CAV technology that could contribute to planning is introduced and discussed. Next, the techniques for modeling and validating a vehicle plant and running controller are discussed. Then, three planning-based control strategies are developed: (1) an Optimal Energy Management Strategy (Optimal EMS), (2) Eco-Driving strategies, and (3) an Optimal EMS combined with Eco-Driving strategies. Each of these planning-based control strategies is evaluated using a validated model of a 2010 Toyota Prius in Autonomie so that engine power, battery state of charge, and FE results can be compared. The results indicate that a 40% + FE improvement is possible when an Optimal EMS is combined with Eco-Driving for city drive cycles. Overall, as more vehicles incorporate CAV technologies and electrification, these FE improvements will be easier to achieve and will have a greater impact on transportation sustainability.

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Metadata
Title
Increasing the Fuel Economy of Connected and Autonomous Lithium-Ion Electrified Vehicles
Authors
Zachary D. Asher
David A. Trinko
Thomas H. Bradley
Copyright Year
2018
Book
Behaviour of Lithium-Ion Batteries in Electric Vehicles

Print ISBN: 978-3-319-69949-3

Electronic ISBN: 978-3-319-69950-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-69950-9_6

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