Rapid urbanization and the exponential growth in vehicle ownership have led to severe challenges inparkingmanagement, including inefficient land utilization, increased congestion, higher energy consumption, and environmentaldegradation. Pune RTO (MH-12) data for 2024–25 records over 3.03 lakh new registrations (3.47%growth), surgingtoapproximately 3,31,488 vehicles in 2025 (9%+ increase), with two-wheelers dominating at over 2.11 lakh (~60%share) andcarsat~74,814. Electric vehicle registrations witnessed a steep rise from ~12,737 in FY 2024–25 to 37,808 in FY 2025–26—nearlyathreefold increase, driven by policy incentives under Maharashtra EV Policy 2025–2030 (₹1,993 crore allocation, toll waiversonmajor expressways including Mumbai–Pune, and mandatory EV-ready parking in new buildings). This surge has resultedinchaotic on-street parking occupying 40% or more of road networks in core areas, severe traffic congestion, excessive fuel wastage,elevated air pollution (idling vehicles contributing 30–40% of peak-hour emissions), driver frustration, and economiclossesestimated in billions annually. This paper proposes a sustainable and intelligent automated parking system using microcontroller-based distributedcontrolintegrated with renewable energy concepts inspired by solar-powered plug-in hybrid electric vehicles (PHEVs). The systememploysa multi-level grid architecture with a hierarchical network of microcontrollers (STM32 family). A central MainControl Unit(MCU) manages intelligent slot allocation, diagnostics, and energy optimization, while distributed Grid Control Units(GCUs)handle local actuation and sensing using robust industrial protocols: CAN for real-time deterministic control, SPI andI²Cforhigh-speed peripherals, and Modbus RTU for monitoring and SCADA integration. Key innovations include sensor-fusion vehicle detection (supporting mixed two-/four-wheeler parking), closed-loop PID-controlledplatform movement (<5 mm accuracy), multi-layer safety interlocks, and a user-friendly Graphical User Interface (GUI) forrealtime monitoring. Sustainable energy integration features rooftop/canopy-mounted solar PV panels (scalable 5–10 kWp+), MPPTcontrollers (Perturb & Observe or Incremental Conductance), lithium-ion battery storage with BMS, bidirectional converters, andregenerative energy recovery (10–20% of movement energy). This reduces grid dependency, enables off-grid resilience, supportsdedicated EV charging slots, and achieves 25–45% lower energy consumption.Extensive simulations inProteusandMATLAB/Simulink (incorporating Pune-specific PV irradiance of 5–6 kWh/m²/day, MPPT dynamics, battery SOC, hybridpowerflow, and regenerative loops), combined with scaled 1:8 hardware prototyping (3D-printed pallets on linear rails), demonstrate82–88% space utilization, 70–85% reduction in retrieval time (45–90 seconds), near-zero collisions, 95%fault recoverywithin2seconds, and significant energy savings. The modular, scalable design is suitable for smart city applications andalignswithMaharashtra EV Policy 2025–2030 (₹1,993 crore incentives, 30% EV target by 2030, mandatory EV-ready parking).Thisworkbridges gaps in literature by integrating distributed microcontroller control with renewable energy systems, contributingtosustainable urban infrastructure under India’s Smart Cities Mission and Maharashtra EV Policy 2025–2030. Keywords: Automated Parking System, Microcontroller, Distributed Control, Smart Parking, Sustainable Energy, SolarPV,Hybrid Electric Vehicle, STM32, CAN Protocol, MPPT, Regenerative Braking, Smart Cities, Maharashtra EVPolicy