(188e) High-Fidelity Electrochemical Battery Models: Review, Issue, and Application

Today, lithium-ion batteries are considered the best means to store energy in renewable energy applications. When lithium-ion battery systems are deployed in energy applications, mathematical battery models are used to understand, operate, and optimize battery performance. Therefore, it is essential to use adequate and relevant battery models to improve cost, performance, and usability of energy applications. Typically, battery models can be classified into various groups, from empirical to molecular-level models. Among many other models, physics-based battery models hold the potential to simultaneously provide systems engineers, battery designers, and material scientists with an optimal computational framework that maximizes safety and usability for renewable energy applications and sustainable mobility.

In this presentation, physics-based battery models, related issues, and its applications will be presented. First, a pseudo-two-dimensional (P2D) and its simplified models will be reviewed. The P2D model is the most popular and acceptable physics-based model, and many simplified models have been proposed. Next, mathematical and numerical issues with physics-based models will be studied. Lastly, an efficient way to integrate physics-based models into renewable grid applications will be introduced. Typically, oversimplified battery models have been adopted for renewable energy applications, leading to system abuse and premature end of life estimate. Physics-based models can maximize the usability and performance of battery systems as well as renewable grid applications.