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Erschienen in:
Lithium-Ion Battery Design for Transportation Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

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

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

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

Verlag: 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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Vorheriges Kapitel Conventional, Battery-Powered, and Other Alternative Fuel Vehicles: Sustainability Assessment
Nächstes Kapitel Electric Commercial Vehicles in Mid-Haul Logistics Networks
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Metadaten
Titel
Increasing the Fuel Economy of Connected and Autonomous Lithium-Ion Electrified Vehicles
verfasst von
Zachary D. Asher
David A. Trinko
Thomas H. Bradley
Copyright-Jahr
2018
Buch
Behaviour of Lithium-Ion Batteries in Electric Vehicles

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

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

Copyright-Jahr: 2018

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

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