Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles

Amin Dalir; Shahid Jaman; Thomas Geury; Omar Hegazy

Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles

Amin Dalir, Shahid Jaman, Thomas Geury, Omar Hegazy

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

4 Downloads (Pure)

Abstract

This paper proposes a new charging strategy for megawatt charging stations that aims to optimize thermal management, thereby enhancing the efficiency of charging medium-duty and heavy-duty vehicles. The strategy employs a Model Predictive Control (MPC) approach to dynamically balance cooling energy and charging current, ensuring that battery temperatures remain below a specified threshold. The study compares the proposed approach with passive cooling and maximum power charging strategies across various charging scenarios to evaluate their efficiency. Simulation results demonstrate that the MPC strategy can significantly improve energy efficiency and optimize charging times in high-power charging stations, making it a versatile solution for diverse operational needs.

----

Original language	English
Title of host publication	The 38th International Electric Vehicle Symposium & Exposition
Editors	Joeri Van Mierlo
Place of Publication	Sweden
Publisher	Proceedings of EVS38: 38th Electric Vehicle Symposium and Exposition, 15-18 June 2025, Gothenburg, Sweden
Pages	1-8
Number of pages	8
Volume	38
Edition	1
Publication status	Published - 2025
Event	The 38th International Electric Vehicle Symposium & Exposition - Gothia Towers, Gothenburg, Sweden Duration: 16 Jun 2025 → 18 Jun 2025 Conference number: 38 https://evs38.org/

Conference

Conference	The 38th International Electric Vehicle Symposium & Exposition
Abbreviated title	EVS
Country/Territory	Sweden
City	Gothenburg
Period	16/06/25 → 18/06/25
Internet address	https://evs38.org/

Access to Document

38th_International_Electric_Vehicle_Symposium_and_Exhibition__EVS38_Accepted author manuscript, 1.46 MBLicence: CC BY-NC-ND

Cite this

Dalir, A., Jaman, S., Geury, T., & Hegazy, O. (2025). Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles. In J. Van Mierlo (Ed.), The 38th International Electric Vehicle Symposium & Exposition (1 ed., Vol. 38, pp. 1-8). Article 360 Proceedings of EVS38: 38th Electric Vehicle Symposium and Exposition, 15-18 June 2025, Gothenburg, Sweden.

Dalir, Amin ; Jaman, Shahid ; Geury, Thomas et al. / Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles. The 38th International Electric Vehicle Symposium & Exposition. editor / Joeri Van Mierlo. Vol. 38 1. ed. Sweden : Proceedings of EVS38: 38th Electric Vehicle Symposium and Exposition, 15-18 June 2025, Gothenburg, Sweden, 2025. pp. 1-8

@inproceedings{b1d95effa5a04298ad35c998562983f6,

title = "Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles",

abstract = "This paper proposes a new charging strategy for megawatt charging stations that aims to optimize thermal management, thereby enhancing the efficiency of charging medium-duty and heavy-duty vehicles. The strategy employs a Model Predictive Control (MPC) approach to dynamically balance cooling energy and charging current, ensuring that battery temperatures remain below a specified threshold. The study compares the proposed approach with passive cooling and maximum power charging strategies across various charging scenarios to evaluate their efficiency. Simulation results demonstrate that the MPC strategy can significantly improve energy efficiency and optimize charging times in high-power charging stations, making it a versatile solution for diverse operational needs.----",

author = "Amin Dalir and Shahid Jaman and Thomas Geury and Omar Hegazy",

year = "2025",

language = "English",

volume = "38",

pages = "1--8",

editor = "{Van Mierlo}, Joeri",

booktitle = "The 38th International Electric Vehicle Symposium & Exposition",

publisher = "Proceedings of EVS38: 38th Electric Vehicle Symposium and Exposition, 15-18 June 2025, Gothenburg, Sweden",

edition = "1",

note = "The 38th International Electric Vehicle Symposium & Exposition, EVS ; Conference date: 16-06-2025 Through 18-06-2025",

url = "https://evs38.org/",

}

Dalir, A , Jaman, S , Geury, T & Hegazy, O 2025, Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles. in J Van Mierlo (ed.), The 38th International Electric Vehicle Symposium & Exposition. 1 edn, vol. 38, 360, Proceedings of EVS38: 38th Electric Vehicle Symposium and Exposition, 15-18 June 2025, Gothenburg, Sweden, Sweden, pp. 1-8, The 38th International Electric Vehicle Symposium & Exposition, Gothenburg, Sweden, 16/06/25.

Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles. / Dalir, Amin ; Jaman, Shahid ; Geury, Thomas et al.
The 38th International Electric Vehicle Symposium & Exposition. ed. / Joeri Van Mierlo. Vol. 38 1. ed. Sweden: Proceedings of EVS38: 38th Electric Vehicle Symposium and Exposition, 15-18 June 2025, Gothenburg, Sweden, 2025. p. 1-8 360.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

TY - GEN

T1 - Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles

AU - Dalir, Amin

AU - Jaman, Shahid

AU - Geury, Thomas

AU - Hegazy, Omar

N1 - Conference code: 38

PY - 2025

Y1 - 2025

N2 - This paper proposes a new charging strategy for megawatt charging stations that aims to optimize thermal management, thereby enhancing the efficiency of charging medium-duty and heavy-duty vehicles. The strategy employs a Model Predictive Control (MPC) approach to dynamically balance cooling energy and charging current, ensuring that battery temperatures remain below a specified threshold. The study compares the proposed approach with passive cooling and maximum power charging strategies across various charging scenarios to evaluate their efficiency. Simulation results demonstrate that the MPC strategy can significantly improve energy efficiency and optimize charging times in high-power charging stations, making it a versatile solution for diverse operational needs.----

AB - This paper proposes a new charging strategy for megawatt charging stations that aims to optimize thermal management, thereby enhancing the efficiency of charging medium-duty and heavy-duty vehicles. The strategy employs a Model Predictive Control (MPC) approach to dynamically balance cooling energy and charging current, ensuring that battery temperatures remain below a specified threshold. The study compares the proposed approach with passive cooling and maximum power charging strategies across various charging scenarios to evaluate their efficiency. Simulation results demonstrate that the MPC strategy can significantly improve energy efficiency and optimize charging times in high-power charging stations, making it a versatile solution for diverse operational needs.----

UR - https://evs38-program.org/images/Proceedings/D%20Charging%20Infrastructure%20and%20grid%20integration/360_Efficient%20Charging%20Strategy%20in%20Megawatt%20Charging%20Station%20Using%20Model%20Predictive%20Control%20Balancing%20Cooling%20Energy%20and%20Charging%20Current%20for%20Heavy-D.pdf

M3 - Conference paper

VL - 38

SP - 1

EP - 8

BT - The 38th International Electric Vehicle Symposium & Exposition

A2 - Van Mierlo, Joeri

PB - Proceedings of EVS38: 38th Electric Vehicle Symposium and Exposition, 15-18 June 2025, Gothenburg, Sweden

CY - Sweden

T2 - The 38th International Electric Vehicle Symposium & Exposition

Y2 - 16 June 2025 through 18 June 2025

ER -

Dalir A , Jaman S , Geury T , Hegazy O. Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles. In Van Mierlo J, editor, The 38th International Electric Vehicle Symposium & Exposition. 1 ed. Vol. 38. Sweden: Proceedings of EVS38: 38th Electric Vehicle Symposium and Exposition, 15-18 June 2025, Gothenburg, Sweden. 2025. p. 1-8. 360

Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles

Abstract

Conference

Access to Document

Other files and links

EUAR80: NextETRUCK : Efficient and affordable Zero Emission logistics through NEXT generation Electric TRUCKs.

Cite this

Efficient Charging Strategy in Megawatt Charging Station Using Model Predictive Control: Balancing Cooling Energy and Charging Current for Heavy-Duty Battery Electric Vehicles

Abstract

Conference

Access to Document

Other files and links

Projects

EUAR80: NextETRUCK : Efficient and affordable Zero Emission logistics through NEXT generation Electric TRUCKs.

Cite this