Chrome Extension
WeChat Mini Program
Use on ChatGLM

The Elevated Temperature Performance of the LiMn2O4/C System: Failure and Solutions

Electrochimica Acta(1999)SCI 2区

Telecordia | UPJV

Cited 321|Views12
Abstract
This paper reviews various chemical approaches that have participated in the improvement of the high temperature performance of the LiMn2O4/C Li-ion system. These approaches range from chemical surface and bulk modification of the spinel to the improvement of electrolyte stability towards acidification, and to the stabilization of the SEI chemistry of the carbon anode. More specifically, we describe the advantages of (1) modifying the surface chemistry of the spinel in order to obtain encapsulated particles or (2) modifying the crystal chemistry of the spinel through dual cationic and anionic substitutions by improving its stability towards Mn dissolution. The role of the carbon negative electrode towards the high temperature issue, namely through the formation/dissolution of the SEI layer is discussed, and a way of controlling such an SEI layer through a pre-conditioning of the cell is presented. The benefit of adding zeolites to the Li-ion cell to trap some of the species (H+, or others) generated during cell functioning as the result of the electrolyte decomposition or SEI layer is presented. Finally, from a compilation of other reports on that topic together with the present work, our present understanding of the failure mechanism in the LiMn2O4/C system is elucidated.
More
Translated text
Key words
LiMn2O4/C Li-ion system,elevated temperature performance,Li-ion cell,Mn
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
1991

被引用706 | 浏览

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文综述了提高LiMn2O4/C锂离子电池高温性能的多种化学方法,提出了通过表面化学改性和晶格化学改性等策略,以及使用沸石材料解决电池高温下失效问题的创新方法。

方法】:通过化学表面和整体改性尖晶石结构,改善电解液的稳定性,以及优化碳负极SEI层的化学稳定性。

实验】:本文未详细描述具体实验过程,但提到了使用沸石材料吸附电池运行中产生的H+等物种,以及通过预调细胞控制SEI层的方法。数据集名称未提及。