The impact of AI on enhancing EV performance and efficiency

Electric Vehicles (EVs) are reshaping the automotive landscape, offering significant environmental and economic advantages, from reduced emissions to lower maintenance costs.

- NITIN KAPOOR

The global transition toward EVs is accelerating, with nearly 14 million new electric cars registered in 2023 alone, bringing the worldwide total to 40 million, as per the International Energy Agency.

This surge in adoption highlights a growing consumer preference for sustainable transport solutions, creating an opportunity for manufacturers to harness emerging technologies to meet these evolving demands.

Artificial Intelligence (AI) stands out as a game-changer, poised to drive the next phase of innovation in the EV sector.

According to the IBM Institute for Business Value, AI is projected to increase the perceived value of EVs by over 20 percent.

By leveraging AI, manufacturers can refine various aspects of EV performance, efficiency, and user experience, positioning themselves to meet the needs of an increasingly eco-conscious market.

Here are some of the key ways AI is revolutionizing EV performance:

Battery optimization

AI plays a pivotal role in managing the core of any EV—its battery.

AI-driven algorithms analyze data from Battery Management Systems (BMS) to predict battery behavior in diverse operating conditions.

This enables better management of charging cycles, battery thermal performance, and overall lifespan.

AI can also help optimize charging patterns by considering factors such as grid demand, energy pricing, and user habits.

By intelligently scheduling charging sessions during off-peak hours, AI minimizes grid stress while maximizing battery longevity and performance.

Advanced material discovery:

Beyond battery optimization, AI can expedite the discovery of new battery materials and chemistries, such as solid-state batteries or advanced lithium-ion variants.