Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation

Mostafa Abdelkhalek; Ismail Bayezit

doi:10.1007/978-3-031-92143-8_6

Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation

Mostafa Abdelkhalek
, Ismail Bayezit^*

^*Bu çalışma için yazışmadan sorumlu yazar

Uçak Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

As eVTOL aircraft advance toward commercialization, maintaining operational sustainability under heavy payloads is a significant challenge. This chapter addresses this by developing and validating a high-voltage battery pack model based on an R-C framework tailored for the NMC-700-112 lithium-ion cell. It explores advanced SOC estimation using the extended Kalman filter (EKF) and examines how real-world mission profiles impact battery performance. The findings provide key insights into eVTOL feasibility for future urban air mobility, especially regarding payload capacity and sustainable operations.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024
Editörler	Behçet Ugur Töreyin, Hatice Köse, Nizamettin Aydin, Ömer Melih Gül, Seifedine Nimer Kadry
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	79-95
Sayfa sayısı	17
ISBN (Basılı)	9783031921421
DOI'lar	https://doi.org/10.1007/978-3-031-92143-8_6
Yayın durumu	Yayınlandı - 2026
Etkinlik	8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024 - Crete, Greece Süre: 3 Eyl 2024 → 5 Eyl 2024

Yayın serisi

Adı	EAI/Springer Innovations in Communication and Computing
ISSN (Basılı)	2522-8595
ISSN (Elektronik)	2522-8609

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024
Ülke/Bölge	Greece
Şehir	Crete
Periyot	3/09/24 → 5/09/24

Bibliyografik not

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 7 Erişilebilir ve Temiz Enerji
SKH 11 Sürdürülebilir Şehirler ve Topluluklar

Belgeye Erişim

10.1007/978-3-031-92143-8_6

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Abdelkhalek, M., & Bayezit, I. (2026). Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation. In B. U. Töreyin, H. Köse, N. Aydin, Ö. Melih Gül, & S. Nimer Kadry (Eds.), 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024 (pp. 79-95). (EAI/Springer Innovations in Communication and Computing). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-92143-8_6

Abdelkhalek, Mostafa ; Bayezit, Ismail. / Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation. 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. editör / Behçet Ugur Töreyin ; Hatice Köse ; Nizamettin Aydin ; Ömer Melih Gül ; Seifedine Nimer Kadry. Springer Science and Business Media Deutschland GmbH, 2026. pp. 79-95 (EAI/Springer Innovations in Communication and Computing).

@inproceedings{18c9c855b96641f6b2d6ade7cb5ed3c0,

title = "Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation",

abstract = "As eVTOL aircraft advance toward commercialization, maintaining operational sustainability under heavy payloads is a significant challenge. This chapter addresses this by developing and validating a high-voltage battery pack model based on an R-C framework tailored for the NMC-700-112 lithium-ion cell. It explores advanced SOC estimation using the extended Kalman filter (EKF) and examines how real-world mission profiles impact battery performance. The findings provide key insights into eVTOL feasibility for future urban air mobility, especially regarding payload capacity and sustainable operations.",

keywords = "Battery pack modeling, Energy demand, Extended Kalman Filter, SOC estimation, Trajectory planning, eVTOL",

author = "Mostafa Abdelkhalek and Ismail Bayezit",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024 ; Conference date: 03-09-2024 Through 05-09-2024",

year = "2026",

doi = "10.1007/978-3-031-92143-8\_6",

language = "English",

isbn = "9783031921421",

series = "EAI/Springer Innovations in Communication and Computing",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "79--95",

editor = "T{\"o}reyin, \{Beh{\c c}et Ugur\} and Hatice K{\"o}se and Nizamettin Aydin and \{Melih G{\"u}l\}, {\"O}mer and \{Nimer Kadry\}, Seifedine",

booktitle = "8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024",

address = "Germany",

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Abdelkhalek, M & Bayezit, I 2026, Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation. in BU Töreyin, H Köse, N Aydin, Ö Melih Gül & S Nimer Kadry (eds), 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. EAI/Springer Innovations in Communication and Computing, Springer Science and Business Media Deutschland GmbH, pp. 79-95, 8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024, Crete, Greece, 3/09/24. https://doi.org/10.1007/978-3-031-92143-8_6

Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation. / Abdelkhalek, Mostafa; Bayezit, Ismail.
8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. ed. / Behçet Ugur Töreyin; Hatice Köse; Nizamettin Aydin; Ömer Melih Gül; Seifedine Nimer Kadry. Springer Science and Business Media Deutschland GmbH, 2026. p. 79-95 (EAI/Springer Innovations in Communication and Computing).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation

AU - Abdelkhalek, Mostafa

AU - Bayezit, Ismail

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - As eVTOL aircraft advance toward commercialization, maintaining operational sustainability under heavy payloads is a significant challenge. This chapter addresses this by developing and validating a high-voltage battery pack model based on an R-C framework tailored for the NMC-700-112 lithium-ion cell. It explores advanced SOC estimation using the extended Kalman filter (EKF) and examines how real-world mission profiles impact battery performance. The findings provide key insights into eVTOL feasibility for future urban air mobility, especially regarding payload capacity and sustainable operations.

AB - As eVTOL aircraft advance toward commercialization, maintaining operational sustainability under heavy payloads is a significant challenge. This chapter addresses this by developing and validating a high-voltage battery pack model based on an R-C framework tailored for the NMC-700-112 lithium-ion cell. It explores advanced SOC estimation using the extended Kalman filter (EKF) and examines how real-world mission profiles impact battery performance. The findings provide key insights into eVTOL feasibility for future urban air mobility, especially regarding payload capacity and sustainable operations.

KW - Battery pack modeling

KW - Energy demand

KW - Extended Kalman Filter

KW - SOC estimation

KW - Trajectory planning

KW - eVTOL

UR - https://www.scopus.com/pages/publications/105025012743

U2 - 10.1007/978-3-031-92143-8_6

DO - 10.1007/978-3-031-92143-8_6

M3 - Conference contribution

AN - SCOPUS:105025012743

SN - 9783031921421

T3 - EAI/Springer Innovations in Communication and Computing

SP - 79

EP - 95

BT - 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024

A2 - Töreyin, Behçet Ugur

A2 - Köse, Hatice

A2 - Aydin, Nizamettin

A2 - Melih Gül, Ömer

A2 - Nimer Kadry, Seifedine

PB - Springer Science and Business Media Deutschland GmbH

T2 - 8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024

Y2 - 3 September 2024 through 5 September 2024

ER -

Abdelkhalek M, Bayezit I. Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation. In Töreyin BU, Köse H, Aydin N, Melih Gül Ö, Nimer Kadry S, editörler, 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. Springer Science and Business Media Deutschland GmbH. 2026. p. 79-95. (EAI/Springer Innovations in Communication and Computing). doi: 10.1007/978-3-031-92143-8_6

Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap