-
Recent Posts
- Milestones – 50 Years of the VW Golf GTI
- EPA Administrator and Trump Booster Zeldin Praises Himself
- Happy Clean New Year California Air Resources Board!
- Chicago Auto Show Shrinks
- Porsche – Happy Birthday Hans-Joachim Stuck
- Ford Recalls Mavericks, Escapes, Mach Es, Transits, Broncos
- Annals of Marketing – Kia and Times Square New Year Partyers
- December U.S. Vehicle Sales Forecast Down. Global Sales Up
- Mazda Axes Advance, Production and Design Modeling Studios
- Detroit Auto Show 2026 – Winners of HS Poster Contest
- Rising EV Sales Deepen Need for Charging Systems
- ACEA – EU November Car Sales Flat. Tesla Wilts
- Honda Aircraft Company Offers Performance Upgrade Package
- November 2025 UK Vehicle Production Plunges
- US New-Vehicle Sales Q4 Forecast Down in 2025. Year Up a Tad
Recent Comments
- Ken Zino on Ford Fuel Injector Leak Recall Now at ~694,000
- LAVERNE L OLIVER on Ford Fuel Injector Leak Recall Now at ~694,000
- Magna on its Share Repurchase Plan in reference to on Magna Posts Solid Q3 2025 Earnings Gain
- Daniel Ricciardo Global Ford Racing Ambassador on Ford Performance Rebranded as Ford Racing
- Gen 3 2026 Nissan Leaf Less than $30,000? | AutoInformed on Milestones – Nissan Begins Assembly of 2013 LEAF EV in Tennessee
Archives
Meta

MIT, Stanford and Toyota Research Institute Use AI to Predict Useful Life of Batteries.They lasted from 150 to 2300 cycles.
After the researchers trained their machine learning model with a few hundred million data points, the algorithm predicted how many more cycles each battery would last, based on voltage declines and a few other factors among the early cycles. The predictions were within 9% of the actual cycle life. Separately, the algorithm categorized batteries as either long or short life expectancy based on just the first five charge/discharge cycles. Here, the predictions were correct 95% of the time. Continue reading →