Chalmers: AI Optimises Fast Charging, Extends EV Life by 23%
Electric vehicles promise simpler mechanics and fewer moving parts than combustion models. That brings fewer traditional maintenance issues, yet it introduces a new priority: the long-term health of the battery.
Frequent fast charging can speed up wear inside lithium-ion cells. A study published by IEEE outlines how AI can slow that degradation and extend battery life significantly.
Researchers at Chalmers University of Technology in Sweden have built an AI-based charging approach that adjusts current during fast-charging sessions.
The team reports a life extension of up to 23% without sacrificing charging speed.
Battery degradation and fast charging
Modern EV packs are engineered to last for many years. Even so, repeated exposure to high-power charging can accelerate ageing.
Fast charging can push cells towards conditions that encourage lithium plating, where lithium ions accumulate on the anode. Over time, that process reduces capacity and can limit performance.
A 2024 study by Geotab estimates average EV battery degradation at around 1.8% per year. That supports an expected lifespan of at least 20 years or 200,000 miles (321,869 km) for many vehicles.
Some estimates suggest Tesla batteries can reach from 300,000 to 500,000 miles (482,803 to 804,672 km), depending on use and charging patterns. Managing fast charging more intelligently could add meaningful headroom on top of those figures.
AI-driven fast charging and its impact
The Chalmers team embedded reinforcement learning into the battery management system to shape charging in real time. The AI tunes current based on pack chemistry, state of charge and state of health during each fast-charging cycle.
As components age, the system adapts voltage and current to avoid stressing the anode, cathode and electrolyte. By keeping the cell in healthier operating zones, the method mitigates the conditions that cause premature wear.
Meng Yuan, a researcher at Chalmers University of Technology’s Department of Electrical Engineering, introduces the research as a step-change in long-term vehicle health.
He says: “This work introduces the first explicit formulation of a lifelong battery fast charging problem.
“The proposed method achieves a significant improvement in performance, where battery lifespan is extended to 703 equivalent full cycles, representing a 22.9% improvement over the standard baseline.”
The IEEE study reports that the approach maintains charging efficiency while extending life. The authors say: “The proposed approach maintains comparable charging efficiency while largely extending battery lifespan, demonstrating that lifespan enhancement can be achieved without compromising charging speed.”
Translating the headline figure into real-world terms suggests a notable gain. A 23% improvement could add nearly 70,000 extra miles (112,654 km) on the low end and more than 100,000 miles (160,934 km) on the high end for long-lived packs.
For context, the Federal Highway Administration says US drivers average about 13,476 miles (21,686 km) per year. For owners who fast charge frequently, those additional miles could equate to several more years of usable range.
The work is demonstrated under laboratory conditions and it is worth noting that this smart charging experiment is yet to be tested in the real world. Applied to the real world, the results could leave a lasting impact on battery warranties and the used EV market.
If proven in the field, the method could influence battery warranties, residual values in the used EV market and charging network strategies. Smarter charging that preserves speed and health would be attractive to high-mileage drivers and fleets alike.
It also offers a practical template for bringing AI to hardware challenges. As AI spreads through mobility, the research sets out a clear roadmap for integrating gen AI into battery management to improve longevity and driver confidence.
