Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles

Najmuddin Jamadar; Suhani Jamadar

doi:10.30939/ijastech..1711318

Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles

Abstract

Hybrid Energy Storage Systems (HESS), combining batteries, super capacitors, and flywheel energy storage systems (FESS), enhance electric vehicle (EV) performance by improving energy efficiency and extending battery lifespan. This study presents a comparative analysis of Pareto-based Multi-Objective Optimization (PMO) and Multi-Verse Optimization (MVO) for energy management across high-speed, city, and mixed driving conditions. Modelling and simulations were carried out using MATLAB/Simulink, with optimization algorithms implemented through custom MATLAB scripts. MVO demonstrates superior performance in both energy allocation and battery stress reduction. For high-speed driving, it achieves an average energy consumption of 54.19 kWh/100 km, while city and mixed cycles record 15.36 kWh/100 km and 9.88 kWh/100 km, respectively. Compared to PMO, MVO reduces battery energy usage by 15.3% and energy losses by 18.98%, while increasing FESS utilization by over 40%. In city driving, FESS contribution rises from 4.00 kWh to 12.18 kWh, reducing battery dependency significantly. Regenerative braking efficiency remains constant at 76.92% across all profiles, indicating stable energy recovery. The findings highlight that PMO and traditional methods tend to underutilize FESS, especially in stop-and-go traffic. MVO effectively redistributes energy by dynamically engaging FESS and super capacitors, minimizing battery cycling and thermal load. This contributes to improved system efficiency, better urban driving performance, and lower carbon impact. These results establish MVO as a highly effective and computationally efficient approach for real-time EV energy management and fuel-equivalent savings.

Keywords

References

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Details

Primary Language

English

Subjects

Hybrid and Electric Vehicles and Powertrains

Journal Section

Research Article

Authors

Najmuddin Jamadar ^*
0000-0001-7732-2495
India

Suhani Jamadar
0000-0003-2839-8447
India

Publication Date

September 30, 2025

Submission Date

June 1, 2025

Acceptance Date

July 9, 2025

Published in Issue

Year 2025 Volume: 9 Number: 3

DOI

https://doi.org/10.30939/ijastech..1711318

IZ

https://izlik.org/JA54DY44KK

Cite

RIS / Bibtex

APA

Jamadar, N., & Jamadar, S. (2025). Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles. International Journal of Automotive Science And Technology, 9(3), 397-408. https://doi.org/10.30939/ijastech..1711318

AMA

1.Jamadar N, Jamadar S. Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles. IJASTECH. 2025;9(3):397-408. doi:10.30939/ijastech.1711318

Chicago

Jamadar, Najmuddin, and Suhani Jamadar. 2025. “Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles”. International Journal of Automotive Science And Technology 9 (3): 397-408. https://doi.org/10.30939/ijastech. 1711318.

EndNote

Jamadar N, Jamadar S (September 1, 2025) Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles. International Journal of Automotive Science And Technology 9 3 397–408.

IEEE

[1]N. Jamadar and S. Jamadar, “Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles”, IJASTECH, vol. 9, no. 3, pp. 397–408, Sept. 2025, doi: 10.30939/ijastech..1711318.

ISNAD

Jamadar, Najmuddin - Jamadar, Suhani. “Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles”. International Journal of Automotive Science And Technology 9/3 (September 1, 2025): 397-408. https://doi.org/10.30939/ijastech. 1711318.

JAMA

1.Jamadar N, Jamadar S. Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles. IJASTECH. 2025;9:397–408.

MLA

Jamadar, Najmuddin, and Suhani Jamadar. “Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles”. International Journal of Automotive Science And Technology, vol. 9, no. 3, Sept. 2025, pp. 397-08, doi:10.30939/ijastech. 1711318.

Vancouver

1.Najmuddin Jamadar, Suhani Jamadar. Comparative Analysis of Multi-Objective and Multi-Verse Optimization for Energy Management in Electric Vehicles. IJASTECH. 2025 Sep. 1;9(3):397-408. doi:10.30939/ijastech. 1711318

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