Improved PNGV equivalent circuit model for battery characteristics

Danfeng Qiu; Xiao Ma; Fen Ge; Jingdong Zhang; Daiyin Zhu

doi:10.1117/12.2639986

17 May 2022 Improved PNGV equivalent circuit model for battery characteristics

Danfeng Qiu, Xiao Ma, Fen Ge, Jingdong Zhang, Daiyin Zhu

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122593O (2022) https://doi.org/10.1117/12.2639986
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 2022, Kunming, China

Abstract

The Partnership for a New Generation of Vehicle (PNGV) model adds battery capacitance on the basis of Thevenin model for the purpose of representing the change of open circuit voltage with the accumulation of load current, which makes up for the disadvantage of constant open circuit voltage of Thevenin circuit to a great extent. In this paper, the PNGV circuit is improved, and a parallel RC link is added, which corresponds to the two poles in the impedance spectrum of the lithium iron phosphate battery, thus being able to more accurately describe the polarization phenomenon of the lithium iron phosphate battery. Besides, the PNGV equivalent circuit model and the improved PNGV equivalent circuit model are established in MATLAB/Simulink, and the accuracy of the two models is compared through the pulse current experiment. Then, it is found that the error of the improved PNGV equivalent circuit model is over 50% less than that of the PNGV equivalent circuit model, which proves the dynamic adaptability of the model.

Citation Download Citation

Danfeng Qiu, Xiao Ma, Fen Ge, Jingdong Zhang, and Daiyin Zhu "Improved PNGV equivalent circuit model for battery characteristics", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122593O (17 May 2022); https://doi.org/10.1117/12.2639986

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available