Evaluating the Potential of Platooning in Lowering the Required Performance Metrics of Li-Ion Batteries to Enable Practical Electric Semi-Trucks
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTEvaluating the Potential of Platooning in Lowering the Required Performance Metrics of Li-Ion Batteries to Enable Practical Electric Semi-TrucksMatthew Guttenberg, Shashank Sripad, and Venkatasubramanian Viswanathan*View Author Information Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States*E-mail: [email protected]Cite this: ACS Energy Lett. 2017, 2, 11, 2642–2646Publication Date (Web):October 26, 2017Publication History Received18 October 2017Accepted23 October 2017Published online26 October 2017Published inissue 10 November 2017https://pubs.acs.org/doi/10.1021/acsenergylett.7b01022https://doi.org/10.1021/acsenergylett.7b01022article-commentaryACS PublicationsCopyright © 2017 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views4965Altmetric-Citations19LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (1 MB) Get e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information SUBJECTS:Batteries,Electrochemical cells,Energy,Power,Redox reactions Get e-Alerts
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Trucks can reduce energy consumption by platooning, alleviating challenges of electrifying long-distance road freight.
“Second, trucks can reduce energy consumption by platooning (driving very close together to reduce air resistance), thereby alleviating some of the challenges that come with electrifying long-distance road freight [318].”
From Tackling climate change with machine learning (2023) · cites this paper as [318]
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Thackeray, M. M., Wolverton, C., & Isaacs, E. D. (2012) · Energy & Environmental Science · doi:10.1039/c2ee21892e · Cited by 2,515 · see citing works
Peterson, S., Apt, J., & Whitacre, J. F. (2009) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.10.010 · Cited by 813 · see citing works
Multimodal Physics-Based Aging Model for Life Prediction of Li-Ion Batteries
Safari, M., Morcrette, M., Teyssot, A., & Delacourt, C. (2009) · Journal of The Electrochemical Society · doi:10.1149/1.3043429 · Cited by 544 · see citing works
Alam, A., Besselink, B., Turri, V., et al. (2015) · IEEE Control Systems · doi:10.1109/mcs.2015.2471046 · Cited by 398 · see citing works
Performance Metrics Required of Next-Generation Batteries to Make a Practical Electric Semi Truck
Sripad, S., & Viswanathan, V. (2017) · ACS Energy Letters · doi:10.1021/acsenergylett.7b00432 · Cited by 200 · see citing works
Self-citationTechnologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles
Transportation Research Board and National Research Council (2010) · National Academies Press eBooks · doi:10.17226/12845 · Cited by 153 · see citing works
Federal Motor Carrier Safety Administration
Garrett, M. (2014) · Encyclopedia of Transportation: Social Science and Policy · doi:10.4135/9781483346526.n208 · Cited by 140 · see citing works
The Aerodynamic Performance Of Platoons: A Final ReportPreprint
Zabat, M., Stabile, N., Farascaroli, S., & Browand, F. (1995) · RePEc: Research Papers in Economics · Cited by 108 · see citing works
Electrical vehicle modeling: A fuzzy logic model for regenerative braking
Maia, R., Silva, M., Araújo, R. A. M., et al. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.07.006 · Cited by 97 · see citing works
Sripad, S., & Viswanathan, V. (2017) · Journal of The Electrochemical Society · doi:10.1149/2.0671711jes · Cited by 65 · see citing works
Self-citationEroğlu, D., Ha, S., & Gallagher, K. G. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.05.071 · Cited by 27 · see citing works
AutoLion™: A Thermally Coupled Simulation Tool for Automotive Li-Ion Batteries
Kalupson, J., Luo, G., & Shaffer, C. E. (2013) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2013-01-1522 · Cited by 25 · see citing works
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Research works printed but not linked: 2
- Patten, J.; McAuliffe, B.; Mayda, W.; Tanguay, B. Review of Aerodynamic Drag Reduction Devices for Heavy Trucks and Buses, Natl. Res. Counc. Can. NRC Technol. Rep. CSTT-HVC-TR; 2012, 205.
- Lu, X.; Shladover, S.; Hedrick, J. Heavy-duty truck control: Short inter-vehicle distance following. Proc. Am. Control Conf. 2004, 4722-4727.
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Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
Decarbonizing intraregional freight systems with a focus on modal shift
Kaack, L. H., Vaishnav, P., Morgan, M. G., Azevedo, I. L., & Rai, S. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aad56c · Cited by 166 · see citing works
- Authors
- Guttenberg, M., Sripad, S., & Viswanathan, V.
- Affiliations
- Carnegie Mellon University (US)
- Corresponding author
- Viswanathan, Venkatasubramanian
- Venue
- ACS Energy Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-10-26
- Volume
- 2
- Issue
- 11
- Pages
- 2642-2646
- ISSN
- 2380-8195 (ISSN-L)
- OpenAlex
- W2765907939
- Cited by
- 27
- References
- 12
- Citations by year
- 2026: 2 · 2025: 4 · 2023: 2 · 2022: 4 · 2021: 4 · 2020: 3 · 2019: 3 · 2018: 5
- FWCI
- 1.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACS Energy Letters (publishedVersion)
- Funders
- Technologies for Safe and Efficient Transportation University Transportation Center
- Pennsylvania Infrastructure Technology Alliance
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Keywords
- vehicle platooning, lithium-ion batteries, electric trucks, energy consumption, power consumption, vehicle-to-vehicle communication, battery energy density, battery power density, range extension, charging infrastructure, battery cost reduction, battery thermal management, battery safety, battery recycling
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