scholarly journals Electrochemical model of lithium ion battery with simplified liquid phase diffusion equation

2019 ◽  
Vol 68 (9) ◽  
pp. 098801
Author(s):  
Zheng-Yu Liu ◽  
Kun Yang ◽  
Zi-Hong Wei ◽  
Li-Yang Yao
Keyword(s):  
Liquid Phase ◽  
Diffusion Equation ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Phase Diffusion ◽  
Electrochemical Model

A Nonlinear Observer SOC Estimation Method Based on Electrochemical Model for Lithium-Ion Battery

2021 ◽  
Vol 57 (1) ◽  
pp. 1094-1104
Author(s):  
Yuntian Liu ◽  
Rui Ma ◽  
Shengzhao Pang ◽  
Liangcai Xu ◽  
Dongdong Zhao ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Estimation Method ◽  
Lithium Ion ◽  
Nonlinear Observer ◽  
Soc Estimation ◽  
Electrochemical Model

Modification of liquid-phase synthesis of lithium-iron phosphate, a cathode material for lithium-ion battery

2012 ◽  
Vol 85 (6) ◽  
pp. 879-882 ◽  
Author(s):  
E. N. Kudryavtsev ◽  
R. V. Sibiryakov ◽  
D. V. Agafonov ◽  
V. N. Naraev ◽  
A. V. Bobyl’
Keyword(s):  
Liquid Phase ◽  
Cathode Material ◽  
Lithium Ion Battery ◽  
Lithium Iron Phosphate ◽  
Lithium Ion ◽  
Iron Phosphate ◽  
Phase Synthesis

scholarly journals A Physics-Based Electrochemical Model for Lithium-Ion Battery State-of-Charge Estimation Solved by an Optimised Projection-Based Method and Moving-Window Filtering

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2120 ◽  
Author(s):  
Wei He ◽  
Michael Pecht ◽  
David Flynn ◽  
Fateme Dinmohammadi
Keyword(s):  
Lithium Ion Battery ◽  
Solid Phase ◽  
Chemical Properties ◽  
Lithium Ion ◽  
State Of Charge ◽  
Critical Parameters ◽  
Estimation Accuracy ◽  
Moving Window ◽  
Battery Management ◽  
Electrochemical Model

State-of-charge (SOC) is one of the most critical parameters in battery management systems (BMSs). SOC is defined as the percentage of the remaining charge inside a battery to the full charge, and thus ranges from 0% to 100%. This percentage value provides important information to manufacturers about the performance of the battery and can help end-users identify when the battery must be recharged. Inaccurate estimation of the battery SOC may cause over-charge or over-discharge events with significant implications for system safety and reliability. Therefore, it is crucial to develop methods for improving the estimation accuracy of battery SOC. This paper presents an electrochemical model for lithium-ion battery SOC estimation involving the battery’s internal physical and chemical properties such as lithium concentrations. To solve the computationally complex solid-phase diffusion partial differential equations (PDEs) in the model, an efficient method based on projection with optimized basis functions is presented. Then, a novel moving-window filtering (MWF) algorithm is developed to improve the convergence rate of the state filters. The results show that the developed electrochemical model generates 20 times fewer equations compared with finite difference-based methods without losing accuracy. In addition, the proposed projection-based solution method is three times more efficient than the conventional state filtering methods such as Kalman filter.

scholarly journals Liquid phase exfoliation of GeS nanosheets in ambient conditions for lithium ion battery applications

2D Materials ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 035015 ◽  
Author(s):  
John B Boland ◽  
Ruiyuan Tian ◽  
Andrew Harvey ◽  
Victor Vega-Mayoral ◽  
Aideen Griffin ◽  
...  
Keyword(s):  
Liquid Phase ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Ambient Conditions ◽  
Liquid Phase Exfoliation

The effect of electrode design parameters on battery performance and optimization of electrode thickness based on the electrochemical–thermal coupling model

2019 ◽  
Vol 3 (1) ◽  
pp. 148-165 ◽  
Author(s):  
Wenxin Mei ◽  
Haodong Chen ◽  
Jinhua Sun ◽  
Qingsong Wang
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Coupling Model ◽  
Design Parameters ◽  
Electrode Design ◽  
Thermal Coupling ◽  
Electrode Thickness ◽  
Electrochemical Model

Schematic of the lithium-ion battery and description of the P2D electrochemical model.

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