Researchers at the University of California has come up with a smarter way to estimate the remaining range in an EV's battery.
What’s happened? Engineers at the University of California, Riverside have developed a new, smarter method to estimate the expected performance of a lithium-ion battery for a specific task under dynamic, real-world conditions — a breakthrough that could significantly alleviate EV battery anxiety.
Why is this important? The researchers have tested SOM with NASA and Oxford datasets, and it has proven proficient at reducing prediction errors related to battery voltage, temperature, and the current state of charge. Recommended Videos Why should I care? The technology will eliminate the guesswork associated with operating battery-driven systems, such as driving electric vehicles, flying battery-operated drones, or home-inverter setups for solar panels. OK, what’s next? Given that SOM uses a hybrid model that combines traditional calculation with environmental conditions and machine learning, it requires much more processing power than what lightweight battery management systems currently offer.
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