Comprehensive Lifecycle Solution for Charging Stations

06/27/2025

Comprehensive Lifecycle Solution for Charging Stations

Core Concept: Full-chain closed-loop management covering "Planning-Construction-Operation-Decommissioning," achieving seamless integration across stages through digitalization. Increases ROI by over 30%.

Ⅰ. Planning & Development Phase: Scientific Decision-Making to Reduce Investment Risk

  1. Intelligent Site Selection & Load Forecasting
    Data-Driven Approach: Integrates GIS data, traffic flow, user density, and grid load data (traffic light grading model) to auto-generate optimal site reports.
    Economic Modeling: Incorporates local electricity pricing policies and subsidy standards (e.g., government subsidies for charging infrastructure).

  2. Funding & Compliance Management
    Government System Integration: Automated document generation for approvals (e.g., NDRC filing procedures).
    Innovative Financing: Equipment leasing solutions and peak/off-peak electricity arbitrage models.

Ⅱ. Design & Construction Phase: Standardization for Efficiency and Cost Reduction

  1. 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

  1. 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.

  2. 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

  1. Battery Cascading & Recycling
    Health Assessment: Retired EV batteries repurposed for energy storage systems (e.g., 5G base station backups).

  2. 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.

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