Study on residual discharge time of lead-acid battery based on fitting method

Liu, Bing; Yu, Wangwang; Jin, Yueqiang; Wang, Shuying

doi:10.1063/1.4982373

Cited by 1 publication

(2 citation statements)

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“…Compared with other optimization algorithms, genetic algorithm has significant advantages and overcomes the disadvantages of low efficiency and easy to fall into local optimization. In this study, the genetic algorithm toolbox in MATLAB is selected for operation in the optimization process, which can simplify the problem and obtain the optimal solution more intuitively and quickly [8].…”

Section: Determination Of Objective Function Based On Genetic Algorithmmentioning

confidence: 99%

“…This paper takes the target vehicle as the research object. In order to improve the comprehensive performance of the whole vehicle and reduce the loss, based on the UDDS cycle with long cycle time and comprehensive summary of road conditions [9], the energy consumption of pure electric vehicle is taken as the fitness function, and the objective function is established as follows:…”

Section: Where I X and Imentioning

confidence: 99%

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Research on Prediction of Battery Residual Discharge of New Energy Electric Vehicle Based on Genetic Algorithm

Gao,

Li,

Song

2024

Advances in Transdisciplinary Engineering

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Aiming at the problem of high complexity caused by temperature in the prediction method of electric vehicle battery residual discharge, a prediction method of new energy electric vehicle battery residual discharge based on genetic algorithm is proposed. Determine the objective function based on genetic algorithm, analyze the voltage and current, and build the battery model; Without considering the longitudinal acceleration, the capacity of the battery pack is calculated, and the ampere hour measurement method is used to establish the model to predict the residual discharge of the battery of new energy electric vehicles. The experimental results show that the prediction accuracy of this method is similar to the actual value at room temperature, which effectively reduces the time complexity of the residual discharge energy prediction method of new energy electric vehicles, and is more suitable for electric vehicle engineering.

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Section: Determination Of Objective Function Based On Genetic Algorithmmentioning

confidence: 99%

Section: Where I X and Imentioning

confidence: 99%