Komprehensibong Solusyon sa Buong Siklo para sa mga Charging Station
Komprehensibong Solusyon sa Buong Siklo ng mga Charging Station
Punong Konsepto: Full-chain na closed-loop management na naka-cover ang "Pagsaplano-Pagtatayo-Pagpapatakbo-Pagkansela," na nagpapahiwatig ng seamless na integration sa bawat yugto sa pamamagitan ng digitalization. Nagpapataas ng ROI ng higit sa 30%.
Ⅰ. Yugto ng Pagsaplano at Pag-unlad: Siyentipikong Pamumuhunan upang Bawasan ang Panganib ng Pag-invest
Intelligent na Paggamit ng Lugar at Forecasting ng Load
Data-Driven na Pagpapakilos: Nagsasama ng GIS data, traffic flow, user density, at grid load data (traffic light grading model) upang awtomatikong bumuo ng optimal na site reports.
Economic Modeling: Kinokonsidera ang lokal na electricity pricing policies at subsidy standards (halimbawa, gobyernong subsidies para sa charging infrastructure).Pondo at Compliance Management
Integration ng Gobyerno System: Awtomatikong pagbuo ng dokumento para sa approval (halimbawa, NDRC filing procedures).
Innovative Financing: Solutions sa equipment leasing at peak/off-peak electricity arbitrage models.
Ⅱ. Yugto ng Disenyo at Pagtatayo: Standardization para sa Epektibidad at Pagbawas ng Cost
Modular Engineering Solutions
Multi-Scenario Adaptation:
Destination Charging (Residential/Commercial Areas): Dynamic power adjustment via sequential charging resolves grid expansion challenges.
Highway Stations: Mobile charging vehicles for emergency plug-and-play support.Commercial Zones: 320kW multimedia charging piles with ad displays to boost revenue.
o Integrated Solar-Storage-Charging: DC bus system reduces energy loss by 15% and extends equipment lifespan (Yingjie Electric patented technology).
Ⅲ. Controlled Construction Process
Digital Twin Platform: BIM + 3D GIS clash detection cuts construction time by 20%.
AI Safety Monitoring: Real-time video recognition detects risks (e.g., missing helmets, boundary violations).
Ⅳ. Smart Operations Phase: Data-Driven Performance Optimization
Intelligent Maintenance System
Predictive Maintenance: IoT sensors monitor pile temperature/voltage fluctuations (>90% fault prediction accuracy).
Mobile Work Order System: Sub-30-minute average technician response time via app dispatch.Energy Efficiency Strategies
Dynamic Pricing: Time-of-use rate adjustments guided by load forecasting (e.g., Guizhou Grid’s "off-peak charging" model).
Green Energy Utilization: Prioritized solar power supply to charging piles increases renewable usage to 40%.
Table: Core Operational KPIs
KPI |
Industry Avg. |
Solution Target |
Improvement Method |
Equipment Availability |
92% |
≥98% |
AI predictive maintenance + spare parts staging |
Daily Utilization per Charger |
15% |
≥25% |
User subsidies + platform traffic steering |
O&M Cost per kWh |
¥0.12 |
≤¥0.08 |
Drone inspections + centralized monitoring |
Ⅳ. Decommissioning & Recycling Phase: Sustainable Lifecycle
Battery Cascading & Recycling
Health Assessment: Retired EV batteries repurposed for energy storage systems (e.g., 5G base station backups).Carbon Footprint Tracking
LCA (Life Cycle Assessment): Measures carbon reduction for participation in carbon trading markets.
Case Result: A coastal city’s charging network achieved a 62% reduction in annual failure rate and 96% user satisfaction after implementation.
