Researchers have developed a new artificial intelligence system that could significantly extend the lifespan of electric vehicle (EV) batteries by improving how they are charged and managed over time, without slowing down charging speed.
The innovation comes from scientists at Chalmers University of Technology, who developed an AI-based charging method that continuously adjusts the charging current based on the battery’s real-time conditions, including its health status and internal chemical behaviour.
Unlike traditional fast-charging methods, which can accelerate wear and reduce long-term capacity, this approach is designed to limit harmful effects, such as lithium plating, while still allowing fast charging.
The researchers reported strong results from testing. The AI system extended battery lifespan by roughly 23% compared to conventional charging techniques while maintaining the same charging time. They described this as an important step toward solving a long-standing challenge in electric mobility, balancing fast charging with long-term battery durability.
“We demonstrate that it is possible to charge just as fast as today, but with substantially less long-term degradation,” said lead researcher Meng Yuan, emphasising the potential impact of the technology on future EV battery systems.
The system uses machine learning, particularly reinforcement learning, to analyse how batteries respond under different charging conditions. It then makes real-time adjustments to reduce stress on the battery cells. This allows the system to protect battery health while still delivering the performance expected by modern EV users, including private car owners and commercial fleet operators.
Experts say battery degradation remains one of the biggest concerns in the EV industry, affecting replacement costs and overall vehicle lifespan. While most EV batteries already last several years under normal use, improving battery management systems could further increase durability and reduce long-term costs.
Although still in the research and testing phase, the technology is seen as a promising step toward smarter EV systems. If widely adopted, AI-based battery control could become a key feature of future electric vehicles, helping improve efficiency, safety, and sustainability.
Overall, the development represents a significant advancement in battery technology, with the potential to reduce environmental impact by extending battery life and reducing the need for frequent replacements.
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