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^*

^*Corresponding author for this work

Department of Aeronautical Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024
Editors	Behçet Ugur Töreyin, Hatice Köse, Nizamettin Aydin, Ömer Melih Gül, Seifedine Nimer Kadry
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	79-95
Number of pages	17
ISBN (Print)	9783031921421
DOIs	https://doi.org/10.1007/978-3-031-92143-8_6
Publication status	Published - 2026
Event	8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024 - Crete, Greece Duration: 3 Sept 2024 → 5 Sept 2024

Publication series

Name	EAI/Springer Innovations in Communication and Computing
ISSN (Print)	2522-8595
ISSN (Electronic)	2522-8609

Conference

Conference	8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024
Country/Territory	Greece
City	Crete
Period	3/09/24 → 5/09/24

Bibliographical note

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Battery pack modeling
Energy demand
Extended Kalman Filter
SOC estimation
Trajectory planning
eVTOL

Access to Document

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

Cite this

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. editor / 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).

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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",

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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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, editors, 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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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