scholarly journals Electrochemical Model-Based Investigation of Thick LiFePO4 Electrode Design Parameters

Modelling ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 259-287
Author(s):  
Robert Franke-Lang ◽  
Julia Kowal
Keyword(s):  
Lithium Ion Batteries ◽  
Porous Electrode ◽  
Lithium Ion ◽  
Size Composition ◽  
Design Parameters ◽  
Model Parameters ◽  
Electrode Structure ◽  
Transport Channel ◽  
Scale Particle ◽  
Electrochemical Model

The electrification of the powertrain requires enhanced performance of lithium-ion batteries, mainly in terms of energy and power density. They can be improved by optimising the positive electrode, i.e., by changing their size, composition or morphology. Thick electrodes increase the gravimetric energy density but generally have an inefficient performance. This work presents a 2D modelling approach for better understanding the design parameters of a thick LiFePO4 electrode based on the P2D model and discusses it with common literature values. With a superior macrostructure providing a vertical transport channel for lithium ions, a simple approach could be developed to find the best electrode structure in terms of macro- and microstructure for currents up to 4C. The thicker the electrode, the more important are the direct and valid transport paths within the entire porous electrode structure. On a smaller scale, particle size, binder content, porosity and tortuosity were identified as very impactful parameters, and they can all be attributed to the microstructure. Both in modelling and electrode optimisation of lithium-ion batteries, knowledge of the real microstructure is essential as the cross-validation of a cellular and lamellar freeze-casted electrode has shown. A procedure was presented that uses the parametric study when few model parameters are known.

scholarly journals Simulation for All-Solid State Batteries with Multi-Element Network Model

2021 ◽  
Vol 333 ◽  
pp. 17002
Author(s):  
Ryusei Hirate ◽  
Hiroki Mashioka ◽  
Shinichiro Yano ◽  
Yoshifumi Tsuge ◽  
Gen Inoue
Keyword(s):  
Lithium Ion Batteries ◽  
Performance Improvement ◽  
Layer Structure ◽  
Porous Electrode ◽  
Phase Interface ◽  
Lithium Ion ◽  
Interface Model ◽  
Electrode Structure ◽  
Electrode Layer ◽  
Solid State Batteries

In order to increase energy density and enhance safety, all-solid-sate lithium-ion batteries have been developed as a storage battery for electric vehicle (EV). Further performance improvement of all-solid-sate lithium-ion batteries requires optimization of the electrode structure. In this paper, we constructed a phase interface model focusing on the microstructure of the porous electrode, and examined the reaction of the electrode layer structure.

A novel online model parameters identification method with anti‐interference characteristics for lithium‐ion batteries

2021 ◽  
Vol 45 (6) ◽  
pp. 9502-9517
Author(s):  
Heng Miao ◽  
Jiajun Chen ◽  
Ling Mao ◽  
Keqing Qu ◽  
Jinbin Zhao ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Parameters Identification ◽  
Model Parameters ◽  
Identification Method

scholarly journals An All-Region State-of-Charge Estimator Based on Global Particle Swarm Optimization and Improved Extended Kalman Filter for Lithium-Ion Batteries

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 321 ◽  
Author(s):  
Xin Lai ◽  
Wei Yi ◽  
Yuejiu Zheng ◽  
Long Zhou
Keyword(s):  
Particle Swarm Optimization ◽  
Kalman Filter ◽  
Lithium Ion Batteries ◽  
Extended Kalman Filter ◽  
Particle Swarm ◽  
Lithium Ion ◽  
State Of Charge ◽  
Model Parameters ◽  
Swarm Optimization ◽  
Soc Estimation

In this paper, a novel model parameter identification method and a state-of-charge (SOC) estimator for lithium-ion batteries (LIBs) are proposed to improve the global accuracy of SOC estimation in the all SOC range (0–100%). Firstly, a subregion optimization method based on particle swarm optimization is developed to find the optimal model parameters of LIBs in each subregion, and the optimal number of subregions is investigated from the perspective of accuracy and computation time. Then, to solve the problem of a low accuracy of SOC estimation caused by large model error in the low SOC range, an improved extended Kalman filter (IEKF) algorithm with variable noise covariance is proposed. Finally, the effectiveness of the proposed methods are verified by experiments on two kinds of batteries under three working cycles, and case studies show that the proposed IEKF has better accuracy and robustness than the traditional extended Kalman filter (EKF) in the all SOC range.

Textile Based Electrodes for Flexible Lithium-Ion Batteries: New updates

2021 ◽  
Vol 17 ◽  
Author(s):  
Ahmed Alahmed ◽  
Emel Ceyhun Sabır
Keyword(s):  
Electrochemical Performance ◽  
Lithium Ion Batteries ◽  
High Efficiency ◽  
Carbon Materials ◽  
Lithium Ion ◽  
Production Costs ◽  
Electrode Structure ◽  
Flexible Electrodes ◽  
Practical Applications ◽  
High Production

: The electrodes are the basis for building flexible lithium-ion batteries (FLIBs), and many attempts have been made to develop flexible electrodes with high efficiency in terms of electrical conductivity, chemical and mechanical properties. Most studies showed relatively satisfactory results when testing the electrochemical properties of laboratory-produced electrodes, but most of these electrodes could not meet the expected requirements of flexible electrodes in practical applications. Quantitative production faces many problems that must be overcome, such as the gradual decline in electrochemical performance, deformation of the electrode structure, high production costs, and difficulties in the production process itself. In this research, developments in the production of flexible electrodes, especially those that depend on carbon materials and metal nanoparticles, will be discussed and summarized in this research. The electrochemical performance and stability of the produced flexible electrodes will be compared. The factors contributing to the progress in the production of flexible lithium-ion batteries will also be discussed.

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