Rapid charging shortens battery lifespan, yet it proves indispensable for extended electric vehicle journeys. A recent investigation by a team from Chalmers University of Technology in Sweden suggests that artificial intelligence might hold the key to overcoming this issue.
During the rapid charging process, certain battery components are subjected to high current loads. This, among other factors, increases the likelihood of undesirable secondary chemical reactions occurring. One of the most critical issues arising is the plating of lithium in its metallic form onto the electrode, rather than its proper intercalation within the battery’s structure. This can lead to a capacity reduction and also poses a risk to safety, as imperfect lithium structures might result in the worst-case scenario: a short circuit.
During their research activities, the scientists presented an AI-driven charging strategy that customizes the current intensity based on the battery’s specific chemical composition and overall operational parameters. Employing this method has the potential to extend the battery’s operational longevity by approximately 23% when contrasted with the standard approach currently in widespread use. Furthermore, there is virtually no compromise in charging speed.
The researchers point out that the strategy is straightforward; its implementation merely requires a software update to the vehicle’s battery management systems. Nevertheless, for widespread adoption, the strategy will necessitate some adjustments due to the variety of battery chemistries currently available. The scientists plan to address this refinement in the next phase of their research, intending to test the strategy on specific vehicle models.
According to the study’s authors, extending battery life by around 23% in the automotive sector could translate into reduced warranty expenses, increased resale value, and a more efficient utilization of scarce raw materials. This is a significant advantage for the transition towards sustainable energy sources.
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