A Temperature and Voltage Coupling Equivalent Electrical Behavior Model of Lithium‐Ion Battery Pack for Electric Unmanned Aerial Vehicle under Variable Load Conditions

Author:

Chen Gaige12ORCID,Liu Yao12,Yang Yahong3,Wang Baihao4

Affiliation:

1. School of Communications and Information Engineering & School of Artificial Intelligence Xi'an University of Posts and Telecommunications Xi'an 710121 China

2. Shaanxi Union Research Center of University and Enterprise for 5G+ Industrial Internet Communication Terminal Technology Xi'an University of Posts and Telecommunications Xi'an China

3. State Key Laboratory of Space Power-Sources Technology Shanghai Institute of Space Power-Sources Shanghai 200245 China

4. School of Mechano-Electronic Engineering Xidian University Xi'an 710071 China

Abstract

It is a valuable and challenge problem to reveal the coupling mechanism between heat and electricity in lithium‐ion battery under variable load conditions. A temperature–voltage coupling equivalent electrical behavior model for lithium‐ion battery under variable load conditions is established to describe the electrical behavior of the battery by analyzing the effect of temperature on particle motion, the effect of particle motion on charge distribution, and the effect of charge distribution on the electrical behavior of the battery and to accurately portray the temperature and voltage coupling mechanism. In the model, heat is taken as the state variable of lithium‐ion battery, and the relationship between the external temperature and voltage is described. The model is verified by simulation and measured data of lithium‐ion battery used in electric unmanned aerial vehicles. The results indicate that the established temperature–voltage coupling model can accurately describe the electrical behavior of the battery and can accurately reveal the coupling relationship between temperature and voltage, and the effect of temperature on the electrical behavior of the battery reflected by the model is basically consistent (voltage and temperature mean absolute percentage error is 5.50% and 2.02%, respectively) with the measured data.

Funder

National Natural Science Foundation of China

National Defense Basic Scientific Research Program of China

Publisher

Wiley

Subject

General Energy

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