To ensure the safe operation of the city’s 1.8 million new energy vehicles, Jiading is implementing an intelligent “safety net.” According to the latest monitoring data from EVDATA, the number of new energy vehicles in Shanghai has surpassed 1.8 million. The rapid expansion of this vehicle fleet has raised concerns about operational safety, particularly regarding the safety of the “three electricity” systems (battery, electric motor, and electric control) after prolonged use. This issue is critical for urban public safety and the healthy development of the industry.
On September 26, the “Shanghai New Energy Vehicle Operational Safety Performance Early Warning and Inspection” project was launched at the Shanghai International Automobile City EV-AI Smart Port. This initiative, which is a key measure to implement the latest national standard GB/T 45688-2025 released by the Ministry of Public Security, aims to establish a comprehensive safety system covering “monitoring – early warning – inspection – maintenance.” The goal is to export a “Shanghai model” for the safety management of new energy vehicles nationwide.
During a demonstration at the newly opened “New Energy Vehicle Operational Safety Performance Inspection” pilot unit, the EV-AI Smart Port, reporters observed that the testing platform was synchronously collecting and intelligently analyzing core parameters of the vehicle’s three electricity systems. A new energy vehicle connected to the integrated charging and inspection machine underwent a process akin to a “health check-up,” generating a detailed “health report” on its battery, motor, and control systems within a few minutes. Any minor issues were captured without fail. This demonstration was part of the “offline precise inspection” phase of the project.
In addition to developing efficient offline testing, the project also aims to create a broad “online monitoring” network. Chen Jie, a member of the party committee and deputy general manager of Shanghai International Automobile City (Group) Co., Ltd., stated that this invisible “safety net,” relying on the Shanghai New Energy Vehicle Data Platform, can analyze anonymous operational data from over one million vehicles in real-time (including parameters like voltage, temperature, and insulation resistance). If any abnormal signs are detected, risk warnings will be issued in advance, guiding vehicles to undergo offline precise diagnostics.
“Traditional safety inspections mainly depend on periodic offline ‘check-ups,’ while this project establishes a ‘dynamic health record’ for each new energy vehicle, marking a fundamental shift from passive response to proactive protection,” Chen explained.
The successful advancement of this project is supported by robust technological backing and close industrial collaboration. At the event, Times Intelligent Technology (Fujian) Co., Ltd. signed a cooperation agreement with Shanghai International Automobile City (Group) Co., Ltd. Additionally, Shanghai Chehui Inspection New Energy Co., Ltd. officially settled in the automobile city, which will further strengthen the regional industrial ecosystem.
Times Intelligent is a tech company focused on battery services. Moving forward, the partners aim to create a dual value of “full lifecycle management of power batteries + industrial ecosystem upgrades,” exploring an innovative management model that integrates “online monitoring” with “offline testing,” which can be replicated and promoted as an industry benchmark. Sun Xiaopei, assistant to the general manager of Times Intelligent and deputy general manager of Qiche Zhijian Shanghai, stated that the company will leverage big data and intelligent testing technology to establish a dynamic early warning and inspection system for new energy vehicle operational safety, filling the existing gaps in safety testing for the three electricity systems of vehicles in use and ensuring safe travel for citizens.
During the event, the first batch of cooperation agreements for the safety inspection of the three electricity systems with new energy ride-hailing companies was completed, promoting the implementation of safety standards in operational scenarios. “We will start the pilot project in the ride-hailing sector, which is closely related to citizens’ travel, to accumulate experience,” Chen added, emphasizing that the project will strive to build a real-time and efficient dynamic early warning and inspection system for new energy vehicle operational safety across the city, laying a solid safety foundation for the high-quality development of the national new energy vehicle industry.
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