Palak Gaur
Arun Kumar
Sushil Kumar Agrawal
Rachit Srivastava
Jay Bahadur Singh
Tej Prakash Verma
- Student Department of Electrical Engineering Bansal Institute of Engineering and Technology, Lucknow Uttar Pradesh India
- Associate Professor Department of Electrical Engineering Bansal Institute of Engineering and Technology, Lucknow Uttar Pradesh India
- Professor Department of Electrical Engineering Bansal Institute of Engineering and Technology, Lucknow Uttar Pradesh India
- Assistant Professor Department of Electrical Engineering Bansal Institute of Engineering and Technology, Lucknow Uttar Pradesh
- Assistant Professor Department of Electrical Engineering Bansal Institute of Engineering and Technology, Lucknow Uttar Pradesh India
- Assistant Professor Department of Electrical Engineering Bansal Institute of Engineering and Technology, Lucknow Uttar Pradesh India
Abstract
To determine the lead-acid battery’s state of charge in electric vehicles, a novel coulometric method is presented in this article. There are two major problems with the main state of charge algorithms that are currently in use: one defines the state of charge incorrectly for applications involving electric vehicles, and the other uses the accumulator’s static performance sub-optimally to estimate its state under dynamic stresses. To address these two shortcomings, we suggest a novel coulometric algorithm that is connected to the electric vehicle’s performance. The virtually discharged ampere-hours are determined by using statistical equivalency coefficients on the actual current profile. A considerable improvement with less than 5% errors in all cases examined is shown by the evaluation of this new algorithm on actual discharges.
Keywords: Electric vehicles, lead-acid battery, lead-corrosive, Manufacturers, Analytical models
[This article belongs to International Journal of Electro-Mechanics and Material Behavior(ijemb)]
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Volume | 02 |
Issue | 01 |
Received | May 23, 2024 |
Accepted | June 12, 2024 |
Published | July 12, 2024 |
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