Online learning of energy consumption for navigation of electric vehicles-Reference-Cited by-同舟云学术

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Online learning of energy consumption for navigation of electric vehicles

Published:2023-04 Issue: Volume:317 Page:103879
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Åkerblom Niklas^ORCID,Chen Yuxin,Haghir Chehreghani Morteza

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference57 articles.

1. An online learning framework for energy-efficient navigation of electric vehicles;Åkerblom,2020

2. The shortest path problem revisited: optimal routing for electric vehicles;Artmeier,2010

3. Efficient energy-optimal routing for electric vehicles;Sachenbacher,2011

4. A formal basis for the heuristic determination of minimum cost paths;Hart;IEEE Trans. Syst. Sci. Cybern.,1968

5. Consumption profiles in route planning for electric vehicles: theory and applications;Baum,2017

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive Model for EV Charging Load Incorporating Multimodal Travel Behavior and Microscopic Traffic Simulation;Energies;2024-05-28

2. Energy-Saving Driving Assistance System Integrated With Predictive Cruise Control for Electric Vehicles;IEEE Transactions on Intelligent Vehicles;2024-03

3. EGO-Centric, Multi-Scale Co-Simulation to Tackle Large Urban Traffic Scenarios;IEEE Access;2023

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