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As the world accelerates its shift towards sustainability, electric vehicles (EVs) have emerged as a cornerstone of the global energy transition. In India, the EV market is growing at an unprecedented pace, propelled by environmental concerns and significant advancements in artificial intelligence (AI).
This transformative technology is revolutionizing the design, production, and operation of EVs by enhancing autonomous driving capabilities and optimizing battery performance. In conversation with Free Press Journal, Prabhjyot Kaur Juneja, Board Advisor at School of Electronics, Henry Harvin Education and Karan Gupta, Chair of Advanced Manufacturing Research at Dunster Business School on how AI is poised to play a pivotal role in shaping India’s EV ecosystem, driving innovation, efficiency, and scalability across the industry.
How AI is transforming the manufacturing landscape for EVs by introducing automation and predictive maintenance?
Prabhjyot Kaur Juneja, says that Indian EV manufacturers are increasingly utilizing AI-driven robotics to achieve precise assembly, reduce production costs, and minimize errors. Predictive analytics play a crucial role in maintaining seamless production processes by anticipating equipment breakdowns. AI-driven supply chain optimization helps Indian companies navigate global shortages of critical raw materials like lithium and cobalt, reducing dependency and ensuring smoother operations.
While fully autonomous vehicles remain in their infancy in India, AI-powered driver-assistance systems are rapidly gaining traction. Features such as adaptive cruise control, lane-keeping assistance, and collision avoidance are becoming standard offerings in EVs. Given the unpredictable road conditions and traffic patterns in India, AI is essential for adapting these technologies to local contexts, ensuring their relevance and effectiveness, Karan Gupta added on.
How is AI revolutionizing the in-car experience for EV consumers by offering personalized and tech-driven features?
Prabhjyot Kaur Juneja explains that Natural Language Processing (NLP)-powered voice assistants enable seamless interactions for tasks such as music selection, navigation, and vehicle controls. AI also analyzes driving behaviors to suggest adaptive climate control settings and energy-efficient routes, enhancing convenience and energy savings. These advancements make EVs increasingly attractive to Indian consumers seeking comfort and connectivity in their vehicles.
By optimizing solid-state electrolyte performance and integrating AI into production processes, their research has enhanced battery lifespan, safety, and cost-efficiency. Their contributions have streamlined supply chains, reduced manufacturing costs, and improved India’s EV infrastructure, accelerating the country’s transition to sustainable and high-performance electric mobility, Karan Gupta added further.
What are AI’s contributions extend beyond EV operations?
Karan Gupta explained that AI reduces environmental waste and promotes resource efficiency. AI-powered energy management systems integrate EVs into the renewable energy grid, supporting India’s ambitious target of achieving net-zero carbon emissions by 2070.
In 2025, AI is not merely an enabler but a driving force behind the evolution of India’s EV sector. By addressing key challenges in battery performance, manufacturing, infrastructure, and user experience, AI is accelerating India’s transition to a greener future,Prabhjyot Kaur Juneja highlighted.
How can AI supercharge India’s EV Revolution in 2025?
Karan Gupta explained that central to the success of EVs is their battery, and AI is redefining Battery Management Systems (BMS) to enhance performance and reliability. By analyzing vast amounts of real-time data, AI algorithms can predict battery health, optimize charging cycles, and extend overall battery life. In India’s tropical climate, where high temperatures can impact battery efficiency, AI-powered heat management systems ensure safety and operational effectiveness.
Additionally, predictive analytics tools enabled by AI provide early warnings of potential battery failures, minimizing downtime and boosting dependability, Prabhjyot Kaur Juneja highlighted.
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