Hybrid method based energy management of electric vehicles using battery-super capacitor energy storage

AlKawak, Omar A.; Kumar, Jambi Ratna Raja; Daniel, Silas Stephen; Reddy, Chinthalacheruvu Venkata Krishna

doi:10.1016/j.est.2023.109835

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article6

Relationship

Self Cite0

Independent6

Authors

Journals

Cited by 26 publications

(1 citation statement)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Results indicated that the NBO-QNN technology outperformed existing methods, displaying the best output among all existing Cooperative Search Algorithm, Latent Semantic Analysis, and Grasshopper Optimization Algorithm methods. It provided a new and effective method for energy management in energy vehicles [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of cobalt-based MOFs for super-capacitor electrode materials of new energy vehicle

Jin,

Jiang,

Feng

et al. 2024

Heliyon

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Optimization of cobalt-based MOFs for super-capacitor electrode materials of new energy vehicle

Jin,

Jiang,

Feng

et al. 2024

Heliyon

View full text Add to dashboard Cite

Optimizing Cost and Emission Reduction in Photovoltaic–Battery‐Energy‐Storage‐System‐Integrated Electric Vehicle Charging Stations: An Efficient Hybrid Approach

Kirubadevi,

Sathesh Kumar,

et al. 2024

Energy Tech

View full text Add to dashboard Cite

In this article, an optimal photovoltaic (PV) and battery energy storage system with hybrid approach design for electric vehicle charging stations (EVCS) is proposed. The hybrid approach combines the use of polar transformer networks (PTNs) and the puzzle optimization algorithm (POA); hence it is called as POA–PTN approach. The main objective is to lessen the charging station cost and pollutant emissions. The proposed method is minimizing the pollutant emissions and the annual cost of PV with EVCS, which is done by POA method and predicts the optimal solution is done by PTN approach. The proposed method is executed in the MATLAB platform, and compared with existing methods, including heap‐based optimization, particle swarm optimization, and wild horse optimizer approaches. The proposed technique demonstrates superior performance, achieving the lowest net present cost of €1.45 × 106 and emissions of 2.25 × 108 g year−1 with a shorter computing time of 13.04 s compared to the other methods.

show abstract

Hybrid TDO–SDRN approach-based energy management of a hybrid electric vehicle

Pandian,

Palanivelu

2024

Electr Eng

View full text Add to dashboard Cite

Hybrid method based energy management of electric vehicles using battery-super capacitor energy storage

Cited by 26 publications

References 42 publications

Optimization of cobalt-based MOFs for super-capacitor electrode materials of new energy vehicle

Optimization of cobalt-based MOFs for super-capacitor electrode materials of new energy vehicle

Optimizing Cost and Emission Reduction in Photovoltaic–Battery‐Energy‐Storage‐System‐Integrated Electric Vehicle Charging Stations: An Efficient Hybrid Approach

Hybrid TDO–SDRN approach-based energy management of a hybrid electric vehicle

Contact Info

Product

Resources

About