Battery lifecycle management

PoC/Research owned by Volvo Group English
2y ago update

As the world moves towards a future with more electrified vehicles, the importance of batteries grows larger by the day. A crucial aspect of batteries is their life cycles, which dictate how long they are useful. 

In order to manage batteries in a better way, Volvo Group is working with partners to develop a software application for battery intelligence. The idea is to combine AI-powered data analytics with battery expertise to achieve a tailored understanding of battery health and degradation.

While electrification is an important step in the work to reduce emissions, it is just as critical to use our resources effectively. One of the aims of the battery management system is to lower the carbon footprint by increasing the possibility of reusing batteries. 

Furthermore, the application is expected to increase uptime with the help of predictive maintenance, which can also prevent failures in the batteries, and by extension, potential damage to other components. The overall goal is to deploy AI powered algorithms to manage our entire battery population in an optimized way.

The battery management system is a pure software approach which uses data gathered from many different applications and usage patterns. With the help of machine learning algorithms and knowledge about battery models, the battery data can be analyzed.

This enables the battery lifetime to be increased by ensuring optimal usage, as well as predictions of battery properties such as remaining useful lifetime.

Attributes

Automotive
More Efficient, Saving Cost
Prediction, Optimization
Machine Learning
Sensor Data, Structured Data