Dr Alana Zülke is Altelium’s battery electrochemist. She is responsible for systematically testing and modelling the ageing process (and associated risks) of commercial Lithium-ion batteries to measure battery state of health (SOH).
A host of different factors can affect this including charging cycles, timing, driving style, temperature, road conditions, and so on.
By combining laboratory batteries with real life data and enhancing it with AI predictive analysis we have a vast amount of data, and this data can be enormously valuable.
Writing in AM Magazine, Alana highlights the different applications of big data to the car industry.
Reducing financial risk in the EV market
For OEMs, the information supports not just continuous product development and improvements, but also the development of financial products. A warranty and service plan for example requires a high degree of certainty about how that product will perform in order to reduce financial risk.
Informing fleet managers
Data about the impact of charging cycles, driving style and working practices will be enormously valuable to fleet managers. Data about battery state of health will also help support the sale of batteries for second life uses.
Satisfying consumer demand
Battery data can also be used to satisfy the demand from the new ‘super-savvy’ consumer for more information about the performance of their car.
For more information read the full article in AM Magazine