“Find a Car” | JHCTECH Supports the Rapid Implementation of Mobile Charging Robots
In recent years, as the number of new energy vehicles (NEVs) has increased, charging has become a major challenge for car owners. According to data released by the China Electric Vehicle Charging Infrastructure Promotion Alliance, in the first half of 2024, the number of newly installed charging facilities reached 1.647 million units, representing a year-on-year increase of 14.2%. However, the ratio of new charging piles to new vehicles was 1:3, indicating that the growth rate of NEVs is significantly outpacing the expansion of charging infrastructure.
Mobile Charging Robots: Enabling “Piles Looking for Cars”!
The traditional charging model of “one parking space, one charging pile” has revealed inefficiencies in real-world operations. Due to the fixed nature of charging piles, resource allocation is often suboptimal. This issue becomes particularly evident during peak hours when charging piles remain underutilized, while long queues of vehicles wait for their turn.
(*Picture from the Internet)
To address this challenge, mobile charging robots for NEVs are being increasingly deployed in various locations. With their mobility, intelligent operation, and personalized services, these robots offer a more flexible and efficient charging solution for electric vehicle users. Through an intelligent dispatching system, they can move to designated locations based on charging demand, providing on-the-spot charging services for NEVs. This shift from the traditional “car looking for a pile” model to a “pile looking for a car” approach significantly enhances charging efficiency and introduces a new solution for flexible and efficient energy replenishment.
(*Picture from the Internet)
At present, charging remains the primary method of energy replenishment in the NEV market, with battery swapping serving as a complementary option. Mobile charging robots further supplement this ecosystem by addressing specific charging challenges. They are mainly used in scenarios such as parking lots, highway service areas, and emergency energy replenishment.
(Picture from "Mobile Charging Robot Industry Research Report")
User Application Requirements
Mobile charging robots are the result of integrating charging pile technology with mobile robotics. They typically consist of a chassis, battery pack, charging pile, charging gun, sensors, control system, charging port perception system, voice interaction system, and other components. At present, most mobile charging robots still resemble “vehicles” in appearance, essentially functioning as large, mobile “power banks.” The control system, acting as the brain of the mobile charging robot, plays a crucial role in executing a series of tasks.
A domestic AI robotics provider is seeking a reliable controller from JHCTECH for its self-developed mobile charging robot, which features three key technical capabilities: L4+ level autonomous driving technology, autonomous charging and power replenishment operations, remote monitoring and management functions. The controller must meet the following requirements:
- High-performance computing, capable of rapidly analyzing and processing large volumes of data.
- Stable and reliable operation, ensuring long-term continuous performance.
- Rich I/O capabilities and flexible expansion options, enabling data reception from peripheral sensors and vehicle motion control for precise positioning and agile movement.
- Remote communication capabilities, supporting real-time data transmission and remote control.
JHCTECH Solution
The KMDA-5610-S002, powered by an X86 architecture Intel Core multi-core high-performance CPU, delivers exceptional computing power for intelligent energy management platforms. It connects to vehicle-mounted LiDAR, millimeter-wave radar, cameras, and other onboard sensors via a switch, utilizing deep learning inference to perform structured data fusion. Downstream, it interfaces with the CAN bus, linking to the vehicle’s electronic control system to manage chassis braking, steering, engine start/stop, and other functions. This enables mobile charging robots to achieve precise positioning and agile movement even in complex parking environments, significantly enhancing the intelligence and reliability of the charging process.
The KMDA-5610-S002 features the Q370 chipset and supports Intel® 8th/9th generation Coffee Lake series processors, ensuring robust computing power for smart energy management platforms and providing strong support for autonomous charging and energy replenishment operations. It offers comprehensive I/O interfaces, including: 3 × LAN, 4 × COM, 6 × USB 3.1, 1 × VGA, 2 × DP, 1 × Line Out + 1 × Mic. These interfaces enable seamless data transmission and control with subsystems such as the chassis, battery pack, charging pile, charging gun, charging port perception system, and voice interaction system. Additionally, 3 × M.2 slots support both wired and wireless communication, ensuring real-time data transmission and remote control. This allows operators to efficiently dispatch and maintain robot networks from any location, enhancing operational efficiency and stability. The system features a fanless cooling design, wide-range DC power input, and flexible installation options, making it ideal for in-vehicle applications.