Energy Storage System Analysis Based on State of Charge for Hybrid Electric Vehicle-Reference-Cited by-同舟云学术

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Energy Storage System Analysis Based on State of Charge for Hybrid Electric Vehicle

Published:2023-08-17 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Smart Computing and Communications (ICSCC)
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Author:

Garg Rinku¹,Yadav Kanchan²,Babber Atul³,Jaggi Ashu⁴,Sharma Ashish⁵,Bijlwan Sheela⁶

Affiliation:

1. University Institute of computing Chandigarh University,Mojhali,Punjab

2. GLA University,Department of Electrical Engineering,Mathura,India

3. SGT University,Department of ME,Gurugram,India

4. Gulzar Group of institutions,Department of ECE,Khanna,India

5. Chandigarh University,Department of Electrical engineering,Mohali,India

6. Uttranchal University,UIT,Department of CSE,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10334953/10334932/10335050.pdf?arnumber=10335050

Reference20 articles.

1. An approach to determine the state of charge of a lithium iron phosphate cell using classification methods based on frequency domain data

2. Economic Nonlinear Predictive Control for Real-Time Optimal Energy Management of Parallel Hybrid Electric Vehicles

3. Synergy between electrified vehicle and community energy storage batteries and markets: Super session 4. Energy storage

4. Battery, Ultracapacitor, Fuel Cell, and Hybrid Energy Storage Systems for Electric, Hybrid Electric, Fuel Cell, and Plug-In Hybrid Electric Vehicles: State of the Art

5. Power electronics enabled energy management for energy storage with extended cycle life and improved fuel economy in a PHEV

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