How Modelling is advancing Lithium-Ion Batteries

Lithium-ion batteries are the backbone of modern portable electronics and electric vehicles, powering everything from smartphones to electric cars. As we strive towards a cleaner and more sustainable future, the role of lithium-ion batteries in powering our daily lives will only continue to grow. However, with the growing demand for these batteries, it has become more important than ever to optimize their design and performance.  

This is where simulation and modelling come in. By using computational models to predict how a battery will perform under different conditions, we can better design and optimize battery systems for efficiency, durability, and safety.  

 Battery management systems  

One key area where simulation and modelling have been crucial is in the development of battery management systems (BMS). BMS is responsible for controlling and monitoring the state of charge and the health of the battery. This ensures that the battery is charged and discharged safely and extends its overall lifespan. By using computational models to simulate the behaviour of the battery under different conditions, BMS developers can better design the system to optimize performance and reduce the risk of damage or failure.  

Lifetime prediction  

Another important use of simulation and modelling in lithium-ion batteries is in the prediction of battery degradation over time. As a battery age, its performance deteriorates, and it becomes less efficient. By using computational models to predict the rate of degradation, battery manufacturers can better design batteries to maximize their lifespan or develop strategies to mitigate the effects of degradation.  

Battery pack manufacturing – laser welding 

As part of an ongoing funded project called LaserBATMAN, which aims to optimize the manufacturing process of lithium-ion batteries, we are developing simulation models which include single repeating units of all the relevant physics. By integrating the effects, we are developing a reduced-order model based on the single repeating unit, which allows us to incorporate the effects of laser welding methods and degradation and provide a more comprehensive understanding of how manufacturing parameters impact battery performance. We are also developing a testing and validation tool for fitting and predicting the performance of battery packs and modules, enabling manufacturers to make data-driven decisions to produce high-quality batteries. In a few months’ time, we can share and discuss potential challenges and solutions as well as outcomes.  

The LaserBATMAN consortium consists of @DTU Construct, the University of Sk?vde, Volvo Group Trucks Operations, and Aurobay (Powertrain Engineering Sweden AB), and is funded by https://m-era.net/ an EU-funded network for research and innovation on materials and battery technologies, supporting the European Green Deal. Local support by #Vinnova and #Innovation Fund Denmark.  

In conclusion, simulation and modelling are critical tools in the development of lithium-ion batteries. By using these tools to predict the performance, degradation, and manufacturing of batteries, we can optimize battery systems for efficiency, durability, and safety. As the demand for lithium-ion batteries continues to grow, it is essential that we continue to invest in research and development to maximize their potential and ensure a sustainable future.  

Read more about Modelling Lithium-Ion Batteries, here.