LogPath: Log data based energy consumption analysis enabling electric vehicle path optimization
Vehicle navigation and path optimization require a more meticulous approach when it deals with EVs (electric vehicles) and SDVs (software-defined vehicles), due to lengthy charging times and the lack of charging infrastructure. Long-distance freight EV trucking needs path guidance with accurate energy consumption estimates to prevent charging-related failures. The authors developed a novel energy consumption estimation approach that only uses battery log data to extract major vehicle parameters to increase EV navigation accuracy without additional sensors. This is enabled by extracting multiple drive modes from the log data for analysis. The system provides 1) routes, 2) charge locations, 3) charging times, and 4) optimal vehicle speeds that guarantee the shortest travel time. The authors successfully validated the system using log data collected from an EV and Tesla’s Supercharging map in the US and compared it with the commercially available navigation system, Tesla’s trip planner, whose capabilities solely include charging time and routing.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
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Authors:
- Boyack, Jonathan
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0000-0003-1790-5335
- Choi, Jongseong Brad
- Jeong, Jongryeol
- Park, Hyungchai
- Kim, Sehwan
- Publication Date: 2024-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 104387
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 135
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Electric vehicle charging; Electric vehicles; Energy consumption; Optimization; Trajectory control
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01930819
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 17 2024 9:25AM