Application of Cellular Modem in Charging Piles: Decoding the Technical Key to Remote Management of Charging Status
Driven by the global energy transition and carbon neutrality goals, the new energy vehicle (NEV) industry is expanding at an annual growth rate exceeding 30%. According to the International Energy Agency (IEA), the number of charging piles worldwide is expected to surpass 50 million by 2030, making the construction of an efficient and intelligent charging network an urgent industry need. However, traditional charging piles generally face three major pain points: management due to device offline status, operational inefficiency caused by data silos, and poor user experience resulting from delayed fault responses. Against this backdrop, cellular modems have emerged as a key technological enabler for the intelligent upgrade of charging piles, thanks to their core value as a "data bridge."
Cellular modem is essentially an IoT communication terminal that enables bidirectional data transparent transmission between charging piles and cloud platforms by integrating wireless communication modules (e.g., 4G/5G, LoRa, Wi-Fi), embedded processors, and protocol conversion capabilities. Its technical architecture can be broken down into three core layers:
The cellular modem connects to the charging pile controller (CCU) via interfaces such as RS232/RS485/CAN, capturing key parameters in real time, including charging power, voltage/current, state of charge (SOC), and billing information, with sampling frequencies reaching millisecond-level precision to ensure data timeliness.
It supports multi-mode communication protocols (e.g., MQTT, CoAP, HTTP) and dynamically switches to the optimal link based on network conditions. For instance, in weak signal environments like underground parking garages, the cellular modem can automatically switch to LoRa low-power wide-area networks to ensure data continuity.
Data is uploaded to the charging operation platform (compatible with the Open Charge Point Protocol, OCPP) via encrypted channels, while control instructions from the platform (e.g., start/stop charging, power adjustment) are received, forming a closed loop of "perception-transmission-decision-execution."
Typical Application Scenario: A city bus group deployed 2,000 DC fast-charging piles integrated with cellular modems, achieving visualized charging process management. Data showed that remote fault diagnosis response times were reduced from 2 hours to 15 minutes, device online rates increased to 99.7%, and annual operation and maintenance costs decreased by 40%.
The technological value of cellular modems is realized through specific functionalities. The following sections explore how they empower intelligent charging piles across four dimensions:
Traditional charging piles rely on manual inspections, leading to lagging and fragmented data collection. Cellular modems achieve comprehensive monitoring through the following technological breakthroughs:
Multi-Parameter Fusion Acquisition: Synchronously capture electrical parameters (voltage/current/power), environmental parameters (temperature/humidity), and operational parameters (charging duration/cost) to construct an equipment health assessment model.
Edge Computing Preprocessing: Lightweight algorithms deployed on the cellular modem locally pre-analyze abnormal data (e.g., overvoltage, leakage) and upload only critical alerts, reducing cloud-side load.
Visual Dashboard: High-speed 4G/5G transmission maps real-time data onto a 3D digital twin system, enabling operators to intuitively view charging pile distribution, utilization rates, and energy consumption heatmaps.
Case Study: After adopting cellular modems with edge computing capabilities, a charging operator reduced data transmission volume by 65% while improving fault identification accuracy to 98.2%.
Cellular modems enable remote operability of charging piles, with core functionalities including:
Remote Start/Stop: Instantly control charging pile switches via platform-issued commands, suitable for off-peak charging scheduling or emergency response.
Dynamic Parameter Adjustment: Remotely modify charging power limits (e.g., from 60 kW to 30 kW) based on grid load or electricity price fluctuations, balancing user experience and grid stability.
Firmware Over-the-Air (OTA) Updates: Remotely update cellular modem and charging pile firmware without on-site manual intervention, achieving a success rate exceeding 99%.
Technical Challenge: Addressing communication delays and instruction conflicts. One manufacturer introduced Time-Sensitive Networking (TSN) technology, reducing control instruction transmission delays to under 50 ms to meet real-time requirements.
Cellular modems leverage machine learning algorithms trained on historical fault data to establish equipment degradation prediction models, enabling three key warning capabilities:
Electrical Fault Prediction: Identify potential issues such as contactor aging or insulation failure through voltage/current waveform analysis.
Communication Fault Self-Recovery: Automatically switch to backup networks (e.g., from 4G to Ethernet) when the primary link fails and send alerts to maintenance personnel.
Environmental Risk Warning: Predict risks like internal condensation or overheating in charging piles using temperature/humidity sensor data to prevent short circuits.
Data Support: After deploying cellular modems, one pilot project reduced unplanned equipment downtime by 72% and tripled annual preventive maintenance frequency.
Cellular modems serve not only as equipment management tools but also as connectors between users and services:
Charging Status Notifications: Push real-time charging progress, estimated completion times, and cost information to user apps via data uploaded by the cellular modem.
Smart Charging Recommendations: Dynamically recommend optimal charging periods based on user charging history and grid electricity prices to lower usage costs.
Vehicle-to-Grid (V2G) Support: In bidirectional charging scenarios, the cellular modem acts as a gateway to coordinate energy exchange between vehicle batteries and the grid, enabling peak shaving and valley filling.
Innovative Practice: Tesla's Supercharger stations integrated V2G functionality via cellular modems, allowing vehicle owners to sell electricity back to the grid during off-peak periods, generating annual revenue of up to $2,000 per pile.
Despite their technological maturity, cellular modems still require careful consideration to avoid three major risks during deployment:
With the integration of 5G-Advanced and AI technologies, cellular modems are evolving into "intelligent gateways," with key trends including:
AI-Empowered Autonomous Decision-Making: Deploying micro-AI models on cellular modems to enable advanced functionalities like self-diagnosis and adaptive load regulation.
Deep Digital Twin Integration: Leveraging high-precision data collected by cellular modems to create digital twins of charging piles, supporting virtual commissioning and predictive maintenance.
Energy Routing Functionality Expansion: In integrated photovoltaic-storage-charging scenarios, cellular modems will coordinate energy flow among solar power generation, energy storage systems, and charging piles to achieve microgrid autonomy.
As the "minimum viable unit" for charging pile intelligence, cellular modems are reshaping industry operational paradigms through their data penetration capabilities. From real-time monitoring to predictive maintenance, from user services to energy scheduling, their technological value has evolved from "device connectivity" to "ecosystem empowerment." With product iterations (e.g., next-generation cellular modems like the USR-G771 supporting TSN and AI acceleration), a more efficient and secure charging network is rapidly emerging—and this is merely a glimpse of the broader interconnected world.