The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Effects of ambient temperature and trip characteristics on the energy consumption of an electric vehicle
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Although the experimental approach highlights the overall impact of ambient conditions, the results are limited to the considered region and time of the study.”
From Flexible Simulation of an Electric Vehicle to Estimate the Impact of Thermal Comfort on the Energy Consumption (2022) · cites this paper as [12]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, those results rely on a large number of vehicle tests, which is time consuming.”
From Flexible Simulation of an Electric Vehicle to Estimate the Impact of Thermal Comfort on the Energy Consumption (2022) · cites this paper as [12]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Moreover, the impacts of the different subsystems cannot be differentiated in such global studies.”
From Flexible Simulation of an Electric Vehicle to Estimate the Impact of Thermal Comfort on the Energy Consumption (2022) · cites this paper as [12]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Results show reductions of 50% to 70% of the driving range under extreme cold conditions.”
From Flexible Simulation of an Electric Vehicle to Estimate the Impact of Thermal Comfort on the Energy Consumption (2022) · cites this paper as [12]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Ambient weather conditions further influence the efficiency of EVs (e.g., [31-33]”
From A National and Regional Greenhouse Gas Breakeven Assessment of EVs across North America (2023) · cites this paper as [33]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Review on battery thermal management system for electric vehicles
Kim, J., Oh, J., & Lee, H. (2019) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2018.12.020 · Cited by 1,142
Hakeem, A. A. A., & Solyalı, D. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109815 · Cited by 431
Yuksel, T., & Michalek, J. J. (2015) · Environmental Science & Technology · doi:10.1021/es505621s · Cited by 380
Quantifying EV battery end-of-life through analysis of travel needs with vehicle powertrain models
Saxena, S., Le Floch, C., MacDonald, J., & Moura, S. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.01.072 · Cited by 363
Energy consumption analysis and prediction of electric vehicles based on real-world driving data
Zhang, J., Wang, Z., Liu, P., & Zhang, Z. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115408 · Cited by 331
Liu, K., Wang, J., Yamamoto, T., & Morikawa, T. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.08.074 · Cited by 279
Xu, H., Wang, H., Lin, Z., & Ouyang, M. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119403 · Cited by 279
Development of a driving cycle to evaluate the energy economy of electric vehicles in urban areas
Brady, J. J., & O’Mahony, M. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.05.094 · Cited by 253
Impact of road gradient on energy consumption of electric vehicles
Liu, K., Yamamoto, T., & Morikawa, T. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.05.005 · Cited by 218
Effect of extreme temperatures on battery charging and performance of electric vehicles
Lindgren, J., & Lund, P. D. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.07.038 · Cited by 203
Cited by
Sorted by citations
Items 201–220 of 220
Sricharoen, S., & Hongesombut, K. (2026) · IEEE Access · doi:10.1109/access.2026.3721214
Ye, L., Liao, B., Qin, W., Feng, M., & Wei, F. (2026) · Journal of Thermal Analysis and Calorimetry · doi:10.1007/s10973-026-16102-1
Lu, F., Wang, S., & Bi, H. (2026) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2026.105197
Carrera, R., Quiróz, L., Arias, X., Gavilánez, V., Zambrano, D., & Quiroz, J. (2026) · World Electric Vehicle Journal · doi:10.3390/wevj17090442
Wang, C., Chen, H., Watling, D. P., Liu, Y., Cui, D., Shang, W., Wang, Z., Havran, O., & Jia, D. (2026) · Applied Energy · doi:10.1016/j.apenergy.2026.128746
Kim, T.-G., Wang, H., Choi, W., & Ahn, C. (2026) · Machines · doi:10.3390/machines14090974
Mahamied, I., Rodríguez, A., Albattah, M., & Abudayyeh, D. (2026) · Energy Reports · doi:10.1016/j.egyr.2026.109710
Sun, K., Hong, J., Guo, L., Gao, B., & Chen, H. (2026) · Chinese Journal of Mechanical Engineering · doi:10.1016/j.cjme.2026.100387
Cha, J., & Seo, J. (2026) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2026.133286
Kiros, M., Yeneneh, K., & Sufe, G. (2026) · Applied Energy · doi:10.1016/j.apenergy.2026.128796
Umidov, L., Usmanov, U., Asanov, S., Umerov, F., & Pastorelli, S. (2026) · Vehicles · doi:10.3390/vehicles8100236
Atalan, A., & Atalan, Y. A. (2026) · Batteries · doi:10.3390/batteries12100399
Jiao, S., Zhang, Y., Cheng, Z., Wang, W., Wang, X., & Zhang, K. (2026) · Energy · doi:10.1016/j.energy.2026.142654
Optimal driving assignment strategies for plug-in hybrid electric heavy duty trucks
Jareño, J., Dorronsoro, B., & Ruiz, P. (2026) · Cleaner Logistics and Supply Chain · doi:10.1016/j.clscn.2026.100379
Grid seasonality, vehicle efficiency and battery electric vehicle emissions across 209 countriesPreprint
Pugazhendi, P., Anbalagan, R., Panneerselvam, A., & Victor, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7597728
Ingelström, M., & Márquez-Fernández, F. J. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7601140
Temperature-aware large-scale charging station siting and sizing for long-haul electric trucks
Cheng, X., Zeng, X., Shafiee, A., Rastegar, H., Yang, J., Xie, C., & Lin, J. (2026) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2026.106066
Selective expert-guided reinforcement learning for vehicle cabin thermal management
Pang, Y., Li, K., Xie, Y., Song, W., & Tan, W. (2026) · Energy · doi:10.1016/j.energy.2026.142707
Luo, L., Huang, H., Wang, Y., & He, H. (2026) · Energies · doi:10.3390/en19204903
Xiao, W. (2026) · Frontiers in Mechanical Engineering · doi:10.3389/fmech.2026.2004324
Metadata
- Authors
- Al-Wreikat, Y., Serrano, C., & Sodré, J. R.
- Affiliations
- Aston University (GB)
- Corresponding author
- Sodré, José Ricardo
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2022-01
- Volume
- 238
- Pages
- 122028
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W3200403671
- Cited by
- 220
- References
- 45
- Citations by year
- 2026: 48 · 2025: 57 · 2024: 55 · 2023: 42 · 2022: 17
- FWCI
- 8.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Energy (publishedVersion)
- Aston Publications Explorer (Aston University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
- Keywords
- electric vehicles, energy consumption, ambient temperature, trip characteristics, specific energy consumption, real-world driving, urban driving, motorway driving, driving range, vehicle speed, stopping times
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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 ›
Are you an author, or do you see a problem with this page? Request a review
