Degradation Analysis, Optimal Design, and Intelligent Management of Lithium Ion Batteries

人口增长和气候变化带来的能源需求增加，为可再生能源和交通电气化提供了强大动力。锂离子电池作为一种极具发展前景的储能系统，在可再生能源系统和交通电气化等领域得到了广泛的应用。然而，锂离子电池仍面临许多问题。其中一个最重要的问题是电池在使用过程中的退化，这成为限制电池循环寿命的因素。为了实现电动汽车和可再生能源基础设施的经济可行性，迫切需要更长的循环寿命。为了实现更长的循环寿命，需要解决几个关键问题，包括：(1)锂离子电池在长期循环中如何降解（降解分析）；(2)如何设计续航时间更长的锂离子电池（优化设计）；(3)在不同的应用场合下如何管理锂离子电池，实现更长的循环寿命（智能管理）。拟议的研究将调查电池的长期退化并解决这些知识缺陷。由于其复杂性，长期的降解过程仍然知之甚少。初步结果表明，在长期循环过程中，不同的降解阶段。一个高保真的退化模型将被开发和实验验证，以预测长期的退化。通过退化分析提供的见解，将确定改善循环寿命的潜在机会。优化设计技术的发展将优化电池的设计参数，以实现更长的循环寿命。该计划还将开发基于退化模型的最佳电池形成协议、智能充电和健康意识管理。总体规划分为5个目标：1)研究主要的退化机制，建立退化模型；2)优化电池设计；3)设计最优编队协议和智能充电；4)开发先进的电池监测系统；5)制定智能化管理策略。这项研究的结果将有助于加强加拿大在可再生能源和交通电气化领域的领导地位。它将提供对电池长期退化的深刻理解，电池优化设计的具体建议，以及优化的电池管理策略。这将使业界能够生产更长的循环寿命电池，并在运行过程中保护电池的健康。它将大大有利于相关产品和服务在加拿大广泛的重要应用。该项目还将为加拿大快速发展的交通和能源行业提供大量培训HQP的机会。

The increasing energy demands of a growing population and climate change challenges provide a strong driving force for renewable energy and transportation electrification. As one of the most promising energy storage systems, Li-ion batteries become widely used in the renewable energy systems and transportation electrification. However, there are still many issues facing Li-ion batteries. One of the most important issues is the degradation of the cells during operation, which becomes the limiting factor in battery cycle life. Longer cycle life is urgently needed to achieve the economic viability in electric vehicles and renewable energy infrastructure. In order to achieve longer cycle life, several key questions need to be addressed, including: (1) how do Li-ion batteries degrade over long-term cycling (degradation analysis); (2) how should we design Li-ion batteries that last longer (optimal design); (3) how should we manage Li-ion batteries in different applications to achieve longer cycle life (intelligent management). The proposed research will investigate the battery long term degradation and address these knowledge deficiencies. The long-term degradation process remains poorly understood due to its complexity. Preliminary results indicate different stages of degradation over long-term cycling. A high fidelity degradation model will be developed and experimentally validated to predict the long-term degradation. Through the insights provided by the degradation analysis, potential opportunities for cycle life improvement will be identified. Optimal design techniques will be developed to optimize the battery design parameters to achieve longer cycle life. The proposed program will also develop optimal battery formation protocol, intelligent charging and health conscious management based on the degradation model. The overall program is divided into 5 objectives: 1) Investigate the main degradation mechanisms and develop degradation models; 2) Optimize battery design; 3) Design optimal formation protocol and intelligent charging; 4) Develop advanced battery monitoring system; 5) Develop intelligent management strategies.The results of this research will contribute to strengthening Canadian leadership in the area of renewable energy and transportation electrification. It will provide a deep understanding of battery long term degradation, specific recommendations of battery optimal design, and optimized battery management strategies. This will enable the industry to produce longer cycle-life battery cells and protect battery health during operation. It will significantly benefit the relevant products and services in a wide range of important applications in Canada. This program will also provide tremendous opportunities for training HQP for the fast growing transportation and energy industry in Canada.