Sponsored by:
Anusandhan National Research Foundation
Our comprehensive research framework organized into systematic work packages
Work packages
Sub-work-packages
Short & long-term deliverables
Institutions involved
Click any work package to expand its sub-work-packages, objectives and lead investigators.
Impact assessment, V2G, planning, scheduling, monitoring & cybersecurity · 7 sub-WPs
Builds benchmark / use-case models of EV charging infrastructure to evaluate the effect of varied charging and discharging patterns on the host distribution grid — analysing the impact of slow, fast and ultra-fast chargers on feeder voltage profiles, power quality and network stability under steady-state and dynamic conditions. Outputs feed WPs 1.2, 1.3, 1.5, 1.6, 4 and 5.
Lead investigators: IIT Kanpur, NIT Warangal
Assesses the impact of large-scale EV penetration on operation, power quality and protection of the distribution system — harmonic distortion, voltage fluctuations and flicker, over/under-voltage operation, and voltage/current unbalance — to ensure smoother operation, reduce battery stress and prolong EV component lifespan.
Lead investigators: IIT Kanpur, IIT Madras, IIITDM Jabalpur, NIT Warangal, NIT Durgapur
Develops V2G supporting technologies alongside co-existing renewable energy and storage: coordinated power sharing between charging stations, RE sources and the grid in grid-connected and islanded modes; grid-forming converter control for fast frequency regulation and inertia support; optimal DC-based converter control for minimum loss; and the supporting communication infrastructure.
Lead investigators: IIT Kanpur, IIT Madras, ChargeQ Technologies
Develops and tests integrated, coordinated planning models of the EV charging infrastructure and power distribution network — accounting for intercity/intracity travel, charger type and battery swapping vs charging — minimising capital and operating cost while respecting transportation and grid constraints.
Lead investigators: IIT Kanpur, IIT Delhi, IIT Roorkee, NIT Durgapur
Develops algorithms for optimal scheduling of charging stations and connected RE/BESS to provide ancillary services such as frequency regulation and inertia support during V2G operation — reducing operational cost, preserving battery health, ensuring power quality and minimising losses.
Lead investigators: IIT Kanpur, IIT Madras, IIITDM Jabalpur, NIT Durgapur
Builds an IoT- and AI/ML-enabled Real-time Monitoring and Operation Platform that aggregates data across charging stations — forecasting demand and charge/discharge patterns, detecting faults and optimising energy distribution — with dashboards and GIS visualisation for station operators, grid managers and EV users.
Lead investigators: IIT Kanpur, Synergy Systems & Solutions
Addresses the cybersecurity of EV charging networks with AI/ML-based real-time threat detection and mitigation, defending against DDoS, ransomware and data-privacy breaches through multi-layered security protocols that protect users, operators and the grid.
Lead investigators: IIT Delhi, IIT Kanpur
Universal socket, lightweight chargers, comms protocols & battery swapping · 4 sub-WPs
Designs and standardises a universal cable and connector system that interfaces with all classes of low-power EVs (2W, 3W, 4W) with wide-ranging battery voltage ratings — overcoming differing plug designs and protocol requirements.
Lead investigators: IIT Kharagpur, IIT Delhi, IIT Roorkee
Develops a compact, lightweight universal charger able to seamlessly charge a broad class of EVs (2W, 3W, 4W) with diverse battery capacities and voltage ratings.
Lead investigators: IIT Roorkee, IIT Delhi
Develops a Cloud-Based Charging Management System acting as the grid interface — enabling Charge Point Operators, e-Mobility Service Providers and Network Service Providers to deliver smart charging, demand response, billing and white-label apps over robust communication technologies.
Lead investigators: IIT Delhi, IIT Kanpur, ChargeQ Technologies, Creatara Mobility
Researches efficient battery-swapping technology with advanced BMS — using AI/ML tools for accurate state-of-charge (SoC), state-of-health (SoH) and remaining-useful-life estimation, critical when batteries are offered as a service.
Lead investigators: IIT Delhi, IIT Roorkee, Bosch Global Software Technologies
SST fast charging, wireless power transfer & DC-coupled grid interfaces · 3 sub-WPs
Develops a single-stage solid-state-transformer (SST) based bidirectional fast charger for 400V ±10% grid with wide-range 150–920V DC output to charge electric cars across Indian makes — targeting high power density, low size/weight and robust control. A 15 kW proof-of-concept will scale to a 100 kW fast-charging demonstration.
Lead investigators: IIT Kanpur
Develops technologies to overcome the limitations of WPT systems and make them suitable for high-power EV charging applications — improving alignment tolerance, efficiency and power density.
Lead investigators: IIT Kanpur, Simactricals Pvt. Ltd.
Develops an AC-DC solid-state-transformer grid interface for DC-coupled fast-charging stations — including a 50 kVA SST prototype integrating power converters, high-frequency transformer, control and protection, validated under full-load and fault conditions. R&D also targets an 11 kV, 400 kVA SiC-MOSFET-based SST.
Lead investigators: IIT Kanpur
Community engagement, capacity building & policy — led by TERI · 3 sub-WPs
Fosters EV adoption through community engagement — creating awareness of benefits, addressing barriers, and promoting inclusivity by enabling EVs for livelihood opportunities, particularly among underrepresented groups including Divyangjans, while building trust and encouraging behavioural change.
Lead investigators: Consortium social-impact team
Assesses skill gaps in the workforce transitioning from ICE vehicles to EVs and designs targeted capacity-building programmes — equipping people and institutions with the technical, operational and managerial skills for a just and inclusive transition while creating new employment.
Lead investigators: Consortium skilling team
Develops and recommends policy and regulatory interventions for seamless EV-grid integration — addressing grid stability, capacity planning and power quality, aligning EV strategy with renewable goals, and ensuring equitable charging access while safeguarding utilities and consumers.
Lead investigators: TERI (Lead)
HIL validation & real-world deployment of all developed technologies
Validates the project's technological innovations under realistic scenarios to assess technology readiness and provide feedback for improvement. A two-step approach is followed: (i) hardware-in-the-loop testing of individual and integrated modules on real-time digital simulators, and (ii) field deployment of the developed technologies at pilot sites — drawing inputs from all other work packages.
Lead investigators: All consortium partners; KESCo (grid access), OPAL-RT (RT simulation) to this page