GREET pursues grid readiness for EVs through five interlinked work packages spanning 17 sub-work-packages — from grid impact and V2G to universal charging, high-power SST technology, policy and field demonstration.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Representative milestones across the project horizon, tracked through the project Gantt chart with monthly consortium reviews.
Each work package carries short-term (0–3 yr) and long-term (4–5 yr) deliverables with six-monthly targets. Reach out to the consortium for the full proposal.