Abstract:
Predicting the discharge time of lithium-ion batteries is an important issue in battery management system. Accurate prediction can avoid accidents, thereby improving the ...Show MoreMetadata
Abstract:
Predicting the discharge time of lithium-ion batteries is an important issue in battery management system. Accurate prediction can avoid accidents, thereby improving the safety of the entire system. In order to overcome the challenge such as the need to identify model parameters in related research, this paper proposes a new prediction method based on Peukert's law. Firstly, the Peukert constant is fitted by the experimentally measured discharge data, and then the experiment data are used to predict the battery discharge time and calculate prediction relative error. Secondly, according to the relative error between the actual battery discharge time and the predicted time, the current Peukert constant is evaluated. Thirdly, the optimal Peukert constant is obtained by minimizing the average relative error, it is also found that if the appropriate Peukert constant is determined, the prediction error can be significantly reduced.
Date of Conference: 11-15 October 2020
Date Added to IEEE Xplore: 30 October 2020
ISBN Information: