Research on energy management scheme for electric bus rapid transit with hybrid energy storage system based on condition information DOI
Ruixue Wang, Kun Yang, Changjiang Shao

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 128, P. 117119 - 117119

Published: May 26, 2025

Language: Английский

Optimal Flexible Power Allocation Energy Management Strategy for Hybrid Energy Storage System with Genetic Algorithm Based Model Predictive Control DOI
Bin Ma, Penghui Li

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135958 - 135958

Published: April 1, 2025

Language: Английский

Citations

1

Research on Energy Management Strategy for Mining Trucks with Methanol Range-Extender and Hybrid Energy Storage System DOI Creative Commons
Yafeng Ren,

Yanlinqing Luo,

Wenwen Lu

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(10), P. 2593 - 2593

Published: May 16, 2025

In the field of mining transportation, methanol range-extended powertrain systems are emerging as preferred solution to address heavy-duty transport challenges in areas, leveraging their low-carbon emissions and long-range endurance. However, conventional energy storage technologies face trade-offs between density, power cycle life: lithium-ion batteries (Li-ion) have a high density but short life, while supercapacitors (SCs) long life low density. To these limitations, hybrid system (HESS) combining Li-ion is proposed unit for truck (MRMT) this study. Firstly, architecture MRMT with HESS designed. Then, range-extender, battery, SCs matched selected based on operating conditions truck. Finally, whole vehicle management strategy developed, performance simulated by MATLAB/Simulink (R2022a) AVL-Cruise (R2019.2). Comparison single range-extender reveals that reduces consumption 6.4% extends 353.4%. This study provides technological path green transformation mine transportation both economical sustainable.

Language: Английский

Citations

0

Research on energy management scheme for electric bus rapid transit with hybrid energy storage system based on condition information DOI
Ruixue Wang, Kun Yang, Changjiang Shao

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 128, P. 117119 - 117119

Published: May 26, 2025

Language: Английский

Citations

0