Toward Smarter EV Battery Operations: Leveraging AI, Data Management, and Optimization in First-Life Use

Koteshwar Chirumalla; Anas Fattouh; Kristian Sandström; Moris Behnam; Ioana Stefan; Ignat Kulkov; Martin Kurdve; Niclas Ståhlbom; Jing Zhao; Moshkan Ebrahimi; Erik Dahlquist; Satyam Paul

doi:10.1007/978-3-032-03546-2_29

Toward Smarter EV Battery Operations: Leveraging AI, Data Management, and Optimization in First-Life Use

Koteshwar Chirumalla^*
, Anas Fattouh
, Kristian Sandström
, Moris Behnam
, Ioana Stefan
, Ignat Kulkov
, Martin Kurdve
, Niclas Ståhlbom
, Jing Zhao
, Moshkan Ebrahimi
, Erik Dahlquist
, Satyam Paul

^*Corresponding author for this work

Laboratory of Industrial Management

Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review

Abstract

As battery technologies become central to the global energy transition, optimizing their performance during first-life use is essential for maximizing value and enabling circular economy pathways. First-life electric vehicle (EV) battery operations—including deployment, usage, maintenance, and early-stage diagnostics—are increasingly influenced by advanced digital technologies, data management practices, and artificial intelligence (AI). Despite rapid technological advances, significant research and implementation gaps remain in integrating data-driven approaches and AI models into operational decision-making and lifecycle optimization. This paper addresses these challenges through an exploratory qualitative study, drawing insights from three expert workshops involving battery ecosystem actors. Our analysis identifies four key thematic areas: (1) battery lifecycle optimization, (2) risk and responsibility distribution, (3) data ownership and interoperability, and (4) AI deployment and cybersecurity. The findings highlight tensions between short-term operational cost-efficiency and long-term battery health, the fragmentation of risk management responsibilities, and growing concerns around data sovereignty and AI system integrity. Based on these insights, we propose a guiding framework for smarter first-life EV battery operations, structured around four pillars and supported by four cross-cutting enablers. This study contributes to the emerging discourse on battery circularity by advancing the understanding of strategies for smarter first-life battery operations.

Original language	English
Title of host publication	Advances in Production Management Systems. Cyber-Physical-Human Production Systems
Subtitle of host publication	Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings
Editors	Hajime Mizuyama, Eiji Morinaga, Toshiya Kaihara, Tomomi Nonaka, Gregor von Cieminski, David Romero
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	434-449
Number of pages	16
ISBN (Print)	9783032035455
DOIs	https://doi.org/10.1007/978-3-032-03546-2_29
Publication status	Published - 2026
MoE publication type	A4 Article in a conference publication
Event	44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025 - Kamakura, Japan Duration: 31 Aug 2025 → 4 Sept 2025

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	768 IFIPAICT
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025
Country/Territory	Japan
City	Kamakura
Period	31/08/25 → 04/09/25

Funding

This work was supported by Circul8 (Smart Battery Circularity), funded by the Knowledge Foundation in Sweden (2019–1602).

Keywords

Battery Operations
Data Management
Operational Strategies

Access to Document

10.1007/978-3-032-03546-2_29

Cite this

Chirumalla, K., Fattouh, A., Sandström, K., Behnam, M., Stefan, I., Kulkov, I., Kurdve, M., Ståhlbom, N., Zhao, J., Ebrahimi, M., Dahlquist, E., & Paul, S. (2026). Toward Smarter EV Battery Operations: Leveraging AI, Data Management, and Optimization in First-Life Use. In H. Mizuyama, E. Morinaga, T. Kaihara, T. Nonaka, G. von Cieminski, & D. Romero (Eds.), Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings (pp. 434-449). (IFIP Advances in Information and Communication Technology; Vol. 768 IFIPAICT). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-03546-2_29

Chirumalla, Koteshwar ; Fattouh, Anas ; Sandström, Kristian et al. / Toward Smarter EV Battery Operations : Leveraging AI, Data Management, and Optimization in First-Life Use. Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. editor / Hajime Mizuyama ; Eiji Morinaga ; Toshiya Kaihara ; Tomomi Nonaka ; Gregor von Cieminski ; David Romero. Springer Science and Business Media Deutschland GmbH, 2026. pp. 434-449 (IFIP Advances in Information and Communication Technology).

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title = "Toward Smarter EV Battery Operations: Leveraging AI, Data Management, and Optimization in First-Life Use",

abstract = "As battery technologies become central to the global energy transition, optimizing their performance during first-life use is essential for maximizing value and enabling circular economy pathways. First-life electric vehicle (EV) battery operations—including deployment, usage, maintenance, and early-stage diagnostics—are increasingly influenced by advanced digital technologies, data management practices, and artificial intelligence (AI). Despite rapid technological advances, significant research and implementation gaps remain in integrating data-driven approaches and AI models into operational decision-making and lifecycle optimization. This paper addresses these challenges through an exploratory qualitative study, drawing insights from three expert workshops involving battery ecosystem actors. Our analysis identifies four key thematic areas: (1) battery lifecycle optimization, (2) risk and responsibility distribution, (3) data ownership and interoperability, and (4) AI deployment and cybersecurity. The findings highlight tensions between short-term operational cost-efficiency and long-term battery health, the fragmentation of risk management responsibilities, and growing concerns around data sovereignty and AI system integrity. Based on these insights, we propose a guiding framework for smarter first-life EV battery operations, structured around four pillars and supported by four cross-cutting enablers. This study contributes to the emerging discourse on battery circularity by advancing the understanding of strategies for smarter first-life battery operations.",

keywords = "Battery Operations, Data Management, Operational Strategies",

author = "Koteshwar Chirumalla and Anas Fattouh and Kristian Sandstr{\"o}m and Moris Behnam and Ioana Stefan and Ignat Kulkov and Martin Kurdve and Niclas St{\aa}hlbom and Jing Zhao and Moshkan Ebrahimi and Erik Dahlquist and Satyam Paul",

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booktitle = "Advances in Production Management Systems. Cyber-Physical-Human Production Systems",

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Chirumalla, K, Fattouh, A, Sandström, K, Behnam, M, Stefan, I, Kulkov, I, Kurdve, M, Ståhlbom, N, Zhao, J, Ebrahimi, M, Dahlquist, E & Paul, S 2026, Toward Smarter EV Battery Operations: Leveraging AI, Data Management, and Optimization in First-Life Use. in H Mizuyama, E Morinaga, T Kaihara, T Nonaka, G von Cieminski & D Romero (eds), Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. IFIP Advances in Information and Communication Technology, vol. 768 IFIPAICT, Springer Science and Business Media Deutschland GmbH, pp. 434-449, 44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025, Kamakura, Japan, 31/08/25. https://doi.org/10.1007/978-3-032-03546-2_29

Toward Smarter EV Battery Operations: Leveraging AI, Data Management, and Optimization in First-Life Use. / Chirumalla, Koteshwar; Fattouh, Anas; Sandström, Kristian et al.
Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. ed. / Hajime Mizuyama; Eiji Morinaga; Toshiya Kaihara; Tomomi Nonaka; Gregor von Cieminski; David Romero. Springer Science and Business Media Deutschland GmbH, 2026. p. 434-449 (IFIP Advances in Information and Communication Technology; Vol. 768 IFIPAICT).

Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review

TY - GEN

T1 - Toward Smarter EV Battery Operations

T2 - 44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025

AU - Chirumalla, Koteshwar

AU - Fattouh, Anas

AU - Sandström, Kristian

AU - Behnam, Moris

AU - Stefan, Ioana

AU - Kulkov, Ignat

AU - Kurdve, Martin

AU - Ståhlbom, Niclas

AU - Zhao, Jing

AU - Ebrahimi, Moshkan

AU - Dahlquist, Erik

AU - Paul, Satyam

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2026.

PY - 2026

Y1 - 2026

N2 - As battery technologies become central to the global energy transition, optimizing their performance during first-life use is essential for maximizing value and enabling circular economy pathways. First-life electric vehicle (EV) battery operations—including deployment, usage, maintenance, and early-stage diagnostics—are increasingly influenced by advanced digital technologies, data management practices, and artificial intelligence (AI). Despite rapid technological advances, significant research and implementation gaps remain in integrating data-driven approaches and AI models into operational decision-making and lifecycle optimization. This paper addresses these challenges through an exploratory qualitative study, drawing insights from three expert workshops involving battery ecosystem actors. Our analysis identifies four key thematic areas: (1) battery lifecycle optimization, (2) risk and responsibility distribution, (3) data ownership and interoperability, and (4) AI deployment and cybersecurity. The findings highlight tensions between short-term operational cost-efficiency and long-term battery health, the fragmentation of risk management responsibilities, and growing concerns around data sovereignty and AI system integrity. Based on these insights, we propose a guiding framework for smarter first-life EV battery operations, structured around four pillars and supported by four cross-cutting enablers. This study contributes to the emerging discourse on battery circularity by advancing the understanding of strategies for smarter first-life battery operations.

AB - As battery technologies become central to the global energy transition, optimizing their performance during first-life use is essential for maximizing value and enabling circular economy pathways. First-life electric vehicle (EV) battery operations—including deployment, usage, maintenance, and early-stage diagnostics—are increasingly influenced by advanced digital technologies, data management practices, and artificial intelligence (AI). Despite rapid technological advances, significant research and implementation gaps remain in integrating data-driven approaches and AI models into operational decision-making and lifecycle optimization. This paper addresses these challenges through an exploratory qualitative study, drawing insights from three expert workshops involving battery ecosystem actors. Our analysis identifies four key thematic areas: (1) battery lifecycle optimization, (2) risk and responsibility distribution, (3) data ownership and interoperability, and (4) AI deployment and cybersecurity. The findings highlight tensions between short-term operational cost-efficiency and long-term battery health, the fragmentation of risk management responsibilities, and growing concerns around data sovereignty and AI system integrity. Based on these insights, we propose a guiding framework for smarter first-life EV battery operations, structured around four pillars and supported by four cross-cutting enablers. This study contributes to the emerging discourse on battery circularity by advancing the understanding of strategies for smarter first-life battery operations.

KW - Battery Operations

KW - Data Management

KW - Operational Strategies

UR - https://www.scopus.com/pages/publications/105015385540

U2 - 10.1007/978-3-032-03546-2_29

DO - 10.1007/978-3-032-03546-2_29

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AN - SCOPUS:105015385540

SN - 9783032035455

T3 - IFIP Advances in Information and Communication Technology

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BT - Advances in Production Management Systems. Cyber-Physical-Human Production Systems

A2 - Mizuyama, Hajime

A2 - Morinaga, Eiji

A2 - Kaihara, Toshiya

A2 - Nonaka, Tomomi

A2 - von Cieminski, Gregor

A2 - Romero, David

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 31 August 2025 through 4 September 2025

ER -

Chirumalla K, Fattouh A, Sandström K, Behnam M, Stefan I, Kulkov I et al. Toward Smarter EV Battery Operations: Leveraging AI, Data Management, and Optimization in First-Life Use. In Mizuyama H, Morinaga E, Kaihara T, Nonaka T, von Cieminski G, Romero D, editors, Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings. Springer Science and Business Media Deutschland GmbH. 2026. p. 434-449. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-032-03546-2_29

Toward Smarter EV Battery Operations: Leveraging AI, Data Management, and Optimization in First-Life Use

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