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Your electric car doesn’t use AI for battery charging yet. But that could change

Integrating AI into the battery estimation system could help make electric cars more efficient, but mistakes could literally ignite into serious trouble.

READ MORE : http://www.euronews.com/2025/07/31/your-electric-car-doesnt-use-ai-for-battery-charging-yet-but-that-could-change

Euronews Next is a future-focused news section covering global innovation, science and technology with a European perspective. Our dedicated team of journalists aims to educate and inspire today’s leaders by providing them with analysis and insights into the people and organisations shaping our future

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00:00Ever wondered how electric vehicles know how much charge is left in their battery?
00:04The state of charge which tells you how charged the car is relies on complicated calculations
00:10of current or voltage, sometimes adjusted for temperature. If it's too low, the vehicle might
00:17shut down unexpectedly. If it's too high, the battery could overcharge, leading to overheating
00:23and in rare cases, fire. This risk is why the EV battery industry hasn't actively adopted
00:30artificial intelligence yet, despite the potential of increased efficiency.
00:34You have problems with the proving causality and liability with an AI component because
00:41it's black box. You can't look inside and say what went wrong. So if an AI component fails,
00:50it's usually something to do with either the hardware or the training data.
00:55Experts say integrating AI into the battery estimation system could make EVs go farther
01:01and last longer. If you can use the sensors, one temperature sensor, one voltage sensor and one
01:08current sensor directly into an AI, that AI is more competent to estimate the charge and will adapt
01:19more quickly to new releases of battery packs and stuff like that, because the old way is very
01:25cumbersome and slow. So there are benefits for AI.
01:29But it's also a task where mistakes can literally ignite into serious trouble.
01:34Skogloon's team intentionally fed the AI faulty data to see how it acted and saw that the output was
01:41way off. It's important to do this kind of test because we proved that it was really
01:50not that robust. As a solution, the team suggests a system that keeps AI in check and shuts it down
01:57when it acts out, which they call a safety cage. This isn't the only way to bring AI into EV batteries,
02:04but researchers say this is one of the most realistic solutions.

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