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Activity-Based Modeling for Integration of Energy Systems for House and Electric Vehicle Read chapter Read first chapter

2020 | OriginalPaper | Chapter

4. Range Extension Autonomous Driving for Electric Vehicles Based on Optimization of Velocity Profile Considering Traffic Signal Information

Authors : Hiroshi Fujimoto, Hideki Yoshida, Yoshi Ri

Published in: Design and Analysis of Distributed Energy Management Systems

Publisher: Springer International Publishing

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Abstract

Electric vehicles (EVs) have been recognized as a practical solution to several environmental and energy conservation problems. The mileage per charge of EVs, however, is lower than the mileage of internal combustion engine vehicles (ICEVs). In this study, a range extension autonomous driving (READ) system that considers the traffic signal information is proposed. The proposed system optimizes the velocity profile of autonomous driving based on the precise loss models of vehicles. We conducted simulations and experiments that prove the effectiveness of the proposal in terms of mileage per charge.

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previous chapter Design of a Home Energy Management System Integrated with an Electric Vehicle (V2H+ HPWH EMS)
next chapter Real-Time Pricing and Decentralized Optimization Strategy for Power Flow Balancing in EV/PHV Storage Management
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Metadata
Title
Range Extension Autonomous Driving for Electric Vehicles Based on Optimization of Velocity Profile Considering Traffic Signal Information
Authors
Hiroshi Fujimoto
Hideki Yoshida
Yoshi Ri
Copyright Year
2020
Book
Design and Analysis of Distributed Energy Management Systems

Print ISBN: 978-3-030-33671-4

Electronic ISBN: 978-3-030-33672-1

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-33672-1_4