Learn from the Industry Leaders
KEYNOTE 1
Parth Pandit
Senior Analyst, Battery Market
Rystad Energy
India's roadmap for electric mobility growth and EV market expansion
Topic Description
From past 8 years, I am covering India EV market. Currently, at Rystad Energy I cover Southeast Asia market on EV including India which includes market forecast as well as policy analysis. Prior to Rystad Energy, I was part of India Energy Storage Alliance where I use to make annual report on EV Market and EV Charging Market in India. Further, completed multiple consulting projects for EV OEMs and did study on forecasting India EV Market by segments from 2023 to 2032. Also, took multiple training sessions on Global EV Market Scenario through IESA Academy while working with India Energy Storage Alliance and while working at Rystad Energy also.
Key Takeaways
EV Market in India
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Coverage across E-2W, E-3W, E-4W, E-Bus, and E-Truck segments
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E-2W & E-3W lead adoption; other segments are emerging
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Analysis includes current status, adoption rates, and key players
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Strong growth outlook driven by policy support and demand
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Key challenges: high costs, limited charging, range anxiety
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Focus on strategies to accelerate adoption across segments
EV Charging Infrastructure
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Expanding but uneven infrastructure across regions
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Key issues: limited availability, low utilization, grid constraints
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Need for faster rollout, standardization, and PPP models
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Emphasis on future-ready, accessible, and scalable charging network
KEYNOTE 2
Latha Chembrakalam
Founder & CEO
AutoAscend Pvt Limited
Beyond Hardware – The Rise of Software-Defined Vehicles (SDVs)
Topic Description
Rewiring Mobility – Engineering the SDV Future is about the shift from hardware-led vehicles to software-first, continuously upgradable mobility platforms. It frames how every player in the value chain must think and operate more like a digital company than a traditional manufacturer. The ecosystem will become more interconnected, with collaborations among various stakeholders fostering innovation in vehicle intelligence and connectivity. Full-stack development will gain prominence, where organizations focus on developing hardware and software together, streamlining processes and enhancing user experiences.The synergy between SDVs and EVs is essential, as software advancements drive the performance and functionality of electric vehicles, improving everything from battery management to autonomous driving features. This connection highlights the industry's shift towards sustainability and smart mobility solutions.
Key Takeaways
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Shift from hardware-led manufacturing to software-defined vehicles (SDVs) with strong software integration
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Transition from transactional supply chains to collaborative ecosystems with shared platforms, open standards, and APIs
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Move toward end-to-end feature teams spanning vehicle, software, cloud, and analytics with continuous integration and OTA updates
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Strong synergy between SDVs and EVs, enhancing performance, sustainability, and smart mobility
Pranav Nagaveykar
CEO and Director
Xlex Batteries Pvt Limited
Advancements in Battery Pack Integration
Topic Description
The future of electric mobility depends not just on better cells, but on how effectively battery packs are integrated into vehicles. This session examines emerging trends in pack-level integration, from structural and immersion-based cooling approaches to embedded sensing and BMS integration, and their impact on performance, safety, and lifecycle economics.
Key Takeaways
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Advances in cell chemistry remain fundamental to EV progress
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Key differentiation lies in effective battery pack integration as a complete system
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Integration must align structure, thermal management, electronics, and manufacturing
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Strong system integration enables better performance, safety, and long-term reliability
Kasthuri Jagadeesan
Research Director
Everest Group
Emerging Technology Innovations Powering India’s Localized EV Future
Topic Description
India’s EV localization will depend on rapidly scaling complex components like batteries, power electronics, and e-drives while meeting global cost and quality standards. This session explores how AI-driven technologies such as computer vision, edge AI, digital twins, and predictive analytics are transforming factories into adaptive, efficient systems. It also highlights next-gen capabilities like industrial AI copilots, synthetic data, and federated learning, focusing on outcomes like higher yield, improved throughput, safety, and faster scale-up.
Key Takeaways
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Localization will be constrained less by demand and policy, and more by manufacturing yield.
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AI native quality and in line metrology will be the fastest value lever because they cut scrap, rework, and warranty risk.
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Digital twins can replace a large share of physical trials, but only if the data backbone is funded first.
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Edge AI will matter more than cloud AI on the shop floor because latency, uptime, and safety are non negotiable.
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OEMs will need supplier data sharing to localize faster, but today’s governance and incentives still block it.
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Winners will build secure learning networks across the ecosystem using traceability, federated learning, and cyber secure OT platforms, not isolated smart plants.