Charging Station Solutions

Electronic component brands supplied by Tianke Semiconductor for use in the solution:

ADI (Analog Devices), ALTERA, TI (Texas Instruments), ST (STMicroelectronics), YAGEO, INFINEON, ON SEMI, SAMSUNG, P-DUKE, PANASONIC, YXC (Yangxing Crystal Oscillators)

End-User Charging Hardware Segmentation Solutions (Full Power Matrix)

(I) AC Slow Charging Stations (AC 7 kW/14 kW/21 kW, Residential / Community Parking Spaces)

1. Internal Hardware Architecture

Main Control Unit: STM32H7 controller, integrated with CAN, RS485, Ethernet, and 4G modules; processes national standard CC/CP guidance signals and vehicle handshake communications

Metering Unit: Class 0.5 high-precision ADE7978 metering chip; supports time-of-use billing, energy consumption freeze, and tamper-proof evidence collection

Power Circuit: 32A AC contactor, surge protection, ground fault protection, and hardware protection against overcurrent, overvoltage, and undervoltage

Human-Machine Interface: Touchscreen, RFID card swipe, NFC, WeChat/Alipay QR code activation, and voice prompts

Safety Module: CP PWM charging handshake, 30mA/0.1s earth leakage protection with circuit disconnection, emergency stop button, IP54 water and dust resistance

2. Core Features

Scheduled off-peak charging, remote start/stop, fault alert notifications

Multi-station orderly charging: Coordinates with the total current in the distribution room; automatically reduces power during peak loads to prevent transformer overload

Three-phase load balancing algorithm (essential for clusters of charging stations in residential basement garages), maintaining three-phase imbalance <15%

Applicable Scenarios: Private parking spaces, residential underground garages, office building employee parking spaces

(II) All-in-One DC Fast Charging Station (DC 60kW/120kW/160kW, shopping malls / taxi depots)

Power Modules: SiC (silicon carbide) high-frequency modular power supply; 20/30 kW per module; parallel expansion; overall efficiency of 96.5%; air-cooled heat dissipation

BMS Communication: CAN bus compliant with GB/T27930-2023; real-time interaction with vehicle batteries; pre-charging, insulation testing, and dynamic voltage regulation and current limiting

Dual-Gun Power Sharing: Dynamic power allocation between two charging guns; 160 kW full power per gun; power is evenly split when both guns are in use

Safety Mechanisms: Real-time high-voltage insulation monitoring, discharge circuit, emergency stop, power reduction upon overheating, and battery overcharge/overcurrent protection

Power Data Acquisition and Integration: Built-in voltage, current, power, and harmonic data acquisition; data uploaded to edge gateways for load scheduling

(3) Modular Charging Stack (240–800 kW high power, for highway service areas and heavy-duty logistics trucks)

Architecture: Power host + multiple charging terminals (1 host to 6–12 terminals)

Shared Power Pool: All terminals share a common power pool; idle power is automatically allocated to waiting vehicles, increasing equipment utilization by 40%

Optional Liquid Cooling: 600A high-current liquid-cooled charging gun, compatible with 800V high-voltage vehicles, providing 400 km of range in 8 minutes

Compatible with Commercial Vehicles: Heavy-duty trucks, buses, and dump trucks; supports multi-stage constant-current and constant-voltage charging curves

Integrated Power Data Collection: 0.2S metering at the feed-in point, monitoring total station load, and coordinating with energy storage to smooth out peak and off-peak loads

(4) Dedicated Integrated PV-Storage-Charging Equipment (Zero-Carbon Parks, Scenic Areas)

PV inverter + Energy Storage PCS + BMS + Charging Stack + ACCU-1000 Coordination Controller for integrated control

Core Strategies:

Prioritize direct vehicle charging from PV; store surplus power in the energy storage system;

Charge the energy storage system during off-peak electricity rates; discharge the system to charging stations during peak hours to reduce base electricity charges;

50 ms high-speed anti-reverse flow control to prevent fines for feeding surplus PV power into the grid;

AI-powered PV output forecasting to pre-schedule energy storage and charging power, increasing the PV self-consumption rate to over 90%