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Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles
descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Journal 2021Embargo end date: 01 Jan 2020 Germany Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Karl Schwenk; Stefan Meisenbacher; Benjamin Briegel; Tim Harr; +2 Authors
Karl Schwenk; Stefan Meisenbacher; Benjamin Briegel; Tim Harr; Veit Hagenmeyer; Ralf Mikut;
doi: 10.1109/tsg.2021.3099206 , 10.5445/ir/1000136277 , 10.48550/arxiv.2009.12201
arXiv: http://arxiv.org/abs/2009.12201 , 2009.12201
doi: 10.1109/tsg.2021.3099206 , 10.5445/ir/1000136277 , 10.48550/arxiv.2009.12201
arXiv: http://arxiv.org/abs/2009.12201 , 2009.12201
Smart charging of Electric Vehicles (EVs) reduces operating cost, allows more sustainable battery usage, and promotes the rise of electric mobility. In addition, bidirectional charging and improved connectivity enable efficient power grid support. Today, however, uncoordinated charging, e.g., governed by users’ habits, is still the norm. Thus, the impact of upcoming smart charging applications is mostly unexplored. We aim to estimate the expenses inherent with smart charging, e.g., battery aging costs, and give suggestions for further research. Using typical onboard sensor data we concisely model and validate an EV battery. We then integrate the battery model into a realistic smart charging use case and compare it with measurements of real EV charging. The results show that i) the temperature dependence of battery aging calls for precise thermal models for charging power greater than 7 kW, ii) disregarding battery aging underestimates EVs’ operating cost by approx. 30%, and iii) the profitability of Vehicle-to-Grid (V2G) services based on bidirectional power flow, e.g., energy arbitrage , depends on battery aging costs and the electricity price spread.
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Full-Text: https://publikationen.bibliothek.kit.edu/1000136277
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IEEE Transactions on Smart Grid
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Article . 2020
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Preprint . 2020
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IEEE Transactions on Smart Grid
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

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Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles
descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Journal 2021Embargo end date: 01 Jan 2020 Germany Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Karl Schwenk; Stefan Meisenbacher; Benjamin Briegel; Tim Harr; +2 Authors
Karl Schwenk; Stefan Meisenbacher; Benjamin Briegel; Tim Harr; Veit Hagenmeyer; Ralf Mikut;
doi: 10.1109/tsg.2021.3099206 , 10.5445/ir/1000136277 , 10.48550/arxiv.2009.12201
arXiv: http://arxiv.org/abs/2009.12201 , 2009.12201
doi: 10.1109/tsg.2021.3099206 , 10.5445/ir/1000136277 , 10.48550/arxiv.2009.12201
arXiv: http://arxiv.org/abs/2009.12201 , 2009.12201
Smart charging of Electric Vehicles (EVs) reduces operating cost, allows more sustainable battery usage, and promotes the rise of electric mobility. In addition, bidirectional charging and improved connectivity enable efficient power grid support. Today, however, uncoordinated charging, e.g., governed by users’ habits, is still the norm. Thus, the impact of upcoming smart charging applications is mostly unexplored. We aim to estimate the expenses inherent with smart charging, e.g., battery aging costs, and give suggestions for further research. Using typical onboard sensor data we concisely model and validate an EV battery. We then integrate the battery model into a realistic smart charging use case and compare it with measurements of real EV charging. The results show that i) the temperature dependence of battery aging calls for precise thermal models for charging power greater than 7 kW, ii) disregarding battery aging underestimates EVs’ operating cost by approx. 30%, and iii) the profitability of Vehicle-to-Grid (V2G) services based on bidirectional power flow, e.g., energy arbitrage , depends on battery aging costs and the electricity price spread.
downloaddonwloadFull-Text
KITopen (Karlsruhe I...arrow_drop_down
KITopen (Karlsruhe Institute of Technologie)
Article . 2021
License: CC BY
Full-Text: https://publikationen.bibliothek.kit.edu/1000136277
Data sources: Bielefeld Academic Search Engine (BASE)
IEEE Transactions on Smart Grid
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
IEEE Transactions on Smart Grid
Article
Data sources: UnpayWall
https://dx.doi.org/10.5445/ir/...
Article . 2021
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.48550/ar...
Article . 2020
License: CC BY
Data sources: Datacite
arXiv.org e-Print Archive
Preprint . 2020
Data sources: arXiv.org e-Print Archive
arXiv.org e-Print Archive
Preprint . 2020
Data sources: arXiv.org e-Print Archive
IEEE Transactions on Smart Grid
Journal
Data sources: Microsoft Academic Graph
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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This Research product is the result of merged Research products in OpenAIRE.

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Access Routes
Green
hybrid
40
citations 40
popularity Top 1%
influence Top 10%
impulse Top 1%
Powered by BIP!
more_vert
downloaddonwloadFull-Text
KITopen (Karlsruhe I...arrow_drop_down
KITopen (Karlsruhe Institute of Technologie)
Article . 2021
License: CC BY
Full-Text: https://publikationen.bibliothek.kit.edu/1000136277
Data sources: Bielefeld Academic Search Engine (BASE)
IEEE Transactions on Smart Grid
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
IEEE Transactions on Smart Grid
Article
Data sources: UnpayWall
https://dx.doi.org/10.5445/ir/...
Article . 2021
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.48550/ar...
Article . 2020
License: CC BY
Data sources: Datacite
arXiv.org e-Print Archive
Preprint . 2020
Data sources: arXiv.org e-Print Archive
arXiv.org e-Print Archive
Preprint . 2020
Data sources: arXiv.org e-Print Archive
IEEE Transactions on Smart Grid
Journal
Data sources: Microsoft Academic Graph
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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This Research product is the result of merged Research products in OpenAIRE.

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Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles