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Power-based electric vehicle energy consumption model: Model development and validation
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“It can be observed that in all the analyzed cases, the results obtained with the assumptions proposed in the work of [1,37] (case (c) and case (d), respectively) are very close to the assumption of case (b) (η rb = 1).”
From Effect of Ambient Temperature on Electric Vehicles’ Energy Consumption and Range: Model Definition and Sensitivity Analysis Based on Nissan Leaf Data (2019) · cites this paper as [1]
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Metadata
- Authors
- Fiori, C., Ahn, K., & Rakha, H. A.
- Affiliations
- Virginia Tech Transportation Institute (US)
- Virginia Tech (US)
- Corresponding author
- Rakha, Hesham A.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2016-04
- Volume
- 168
- Pages
- 257-268
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2260322208
- Cited by
- 641
- References
- 51
- Citations by year
- 2026: 94 · 2025: 81 · 2024: 85 · 2023: 61 · 2022: 75 · 2021: 60 · 2020: 53 · 2019: 65 · 2018: 37 · 2017: 20 · 2016: 9
- FWCI
- 34.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Northwestern University Transportation Center
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
- Keywords
- electric vehicle energy consumption, regenerative braking, eco-driving, eco-routing, driving range, vehicle speed and acceleration
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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