Battery Modeling in EV Environment Using Simulink

The growth in electric vehicle (EV) implementation has created a need for precise battery modeling to expect performance, enhance control strategies, and ensure protection. This paper proposed a comprehensive approach to modeling EV batteries using Sirnulink, focusing on creating realistic symbols of battery performance under various operating circumstances. The model includes key features of battery dynamics, such as temperature properties, and charge/discharge rates, to simulate the multifaceted interactions in an EV environment. Leveraging Simulink's abilities, we simulate various drive cycles, regenerative braking situations, and load demands, providing perceptions into battery aging, energy efficiency, and capacity decline. The model's accuracy and adaptability are validated through a series of tests comparing simulated outputs with actual performance data. This research lays the foundation for emerging efficient battery management systems (BMS) that enhance EV performance and reliability, while contributing valuable visions into sustainable energy applications in transportation.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/icspe62629.2024.10924320
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.20
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article

Battery Modeling in EV Environment Using Simulink

Rishabh Dev Shukla, Manjeet Singh, Amritjot Kaur, D Purnachandra
1 citations
Advanced Battery Technologies Research
0.20
article

Battery Modeling in EV Environment Using Simulink

Rishabh Dev Shukla, Manjeet Singh, Amritjot Kaur, D Purnachandra
article en
1 citations

Abstract

The growth in electric vehicle (EV) implementation has created a need for precise battery modeling to expect performance, enhance control strategies, and ensure protection. This paper proposed a comprehensive approach to modeling EV batteries using Sirnulink, focusing on creating realistic symbols of battery performance under various operating circumstances. The model includes key features of battery dynamics, such as temperature properties, and charge/discharge rates, to simulate the multifaceted interactions in an EV environment. Leveraging Simulink's abilities, we simulate various drive cycles, regenerative braking situations, and load demands, providing perceptions into battery aging, energy efficiency, and capacity decline. The model's accuracy and adaptability are validated through a series of tests comparing simulated outputs with actual performance data. This research lays the foundation for emerging efficient battery management systems (BMS) that enhance EV performance and reliability, while contributing valuable visions into sustainable energy applications in transportation.

Chandigarh University (IN)
Openalex Percentile: Top 45%
Advanced Battery Technologies Research
0.20
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