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Stanford Researchers Develop Prediction Model for Li-Ion Battery Lifecycles

A team of scientists at Standford University has developed a model to predict the true condition of rechargeable batteries in real-time, enabling more precise battery management. At the moment car and battery manufacturers have to add spare capacity to anticipate the unknown amount of fading which takes additional room, weight and costs as well as scarce or toxic materials into account. By combining sensor data and computer modeling of the decrease of lithium ions in the electrolyte for each of the two electrodes with a dedicated algorithm, the team has achieved a prediction accuracy within 2 percent of the actual battery life as gathered in experiments.

“With our model, it’s still important to be careful about how we are using the battery system,” explains Simona Onori, assistant professor of energy resources engineering in Stanford. “But if you have more certainty around how much energy your battery can hold throughout its entire lifecycle, then you can use more of that capacity. Our system reveals where the edges are, so batteries can be operated with more precision.”

 

Source: Stanford University | www.news.stanford.edu
Image: Pixabay | www.pixabay.com
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