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Deep Learning-Based Prediction of Lithium-Ion Batteries State of Charge for Electric Vehicles in Standard Driving Cycle
Publication Year: 2023
Author(s): Hai T, Dhahad H A, Jasim K F, Sharma K, Zhou J, Fouad H, El-Shafai W
Abstract:
During this period, significant climatic shifts led to threatening consequences for people's lives and industries, with global warming being a significant issue. Societal efforts have encouraged the use of public transportation as a solution to mitigate these consequences. An all-electric vehicle is evaluated in this research paper. Using two various types of regular driving cycles, we were able to evaluate the battery performance of electric vehicles (EVs). The variables influencing vehicle performance, such as battery state of charge (SOC), energy consumption, and battery functioning temperature, are investigated. The results demonstrate that the rate of urban traveling significantly impacts travel efficiency and the range. In addition, owing to the significance of battery capacity, the influences of different variables on forecasting battery state of charge were assessed in the second step. The results show that the driving behavior and acceleration rate of the vehicle influence the SOC of the battery. The results of this study also showed that city driving has a significant effect on Ev performance in the travel distance range.
Source of Publication: Sustainable Energy Technologies and Assessments
Vol/Issue: 60: 103461
DOI No.: 10.1016/j.seta.2023.103461
Country: China
Publisher/Organisation: Elsevier
Rights: Elsevier Ltd.
URL:
https://www.sciencedirect.com/science/article/abs/pii/S221313882300454X
Theme: Battery Technology | Subtheme: Lithium-ion batteries (liquid electrolyte)
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