Full
Outline
Owing to the advantages of lithium-ion batteries such as high energy density, long service life and low internal resistance, they have been widely applied to the fields of electric vehicles and energy storage. During their utilization process, their temperature will increase due to the internal chemical reactions. However, the traditional equivalent circuit model of batteries based on the voltage and current characteristics does not consider the thermal process, which cannot satisfy the precision requirement for battery models in practical applications. To solve this problem, a construction method for high-precision thermoelectric coupling model with measurable parameters is proposed. First, a thermal model of batteries based on back propagation neural networks is established using the Bayesian regularization method, and the battery surface temperature under different charge and discharge conditions is obtained. Then, the obtained characteristics of battery temperature are further input into a dual-polarization equivalent circuit model, so as to construct a thermoelectric coupling model of lithium-ion batteries. Compared with the traditional equivalent circuit model method which does not take into account the thermal effect, the established model can more accurately predict the changes in the temperature, capacitance and internal resistance of lithium-ion batteries with time, with an average reduction of 44.395% in output voltage error.
56
6
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
