Komprehensibong Solusyon sa Buhay na Siklo para sa mga Charging Station
Komprehensibong Solusyon sa Buong Siklo para sa Charging Stations
Pangunahing Konsepto: Full-chain closed-loop management na naka-cover ang "Pagsaplano-Pagbuo-Pag-operate-Pag-sara," na nagpapahiwatig ng walang hanggang integrasyon sa bawat yugto sa pamamagitan ng digitalization. Nagpapataas ng ROI sa higit 30%.
Ⅰ. Pagsaplano & Pagbuo Phase: Siyentipikong Paggawa ng Desisyon upang Bawasan ang Panganib sa Investimento
Intelligent Site Selection & Load Forecasting
Data-Driven Approach: Nag-iintegrate ng GIS data, traffic flow, user density, at grid load data (traffic light grading model) upang auto-generate optimal site reports.
Economic Modeling: Kinokonsidera ang lokal na electricity pricing policies at subsidy standards (e.g., government subsidies for charging infrastructure).Funding & Compliance Management
Government System Integration: Awtomatikong paggawa ng dokumento para sa mga approval (e.g., NDRC filing procedures).
Innovative Financing: Solutions sa equipment leasing at peak/off-peak electricity arbitrage models.
Ⅱ. Design & Construction Phase: Standardization para sa Efisiensiya 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. Nakontrol na Proseso ng Pagbuo
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.
