Enterprises under the UniStrong Science & Technology ecosystem release a heavy-duty truck energy large model to solve the pain points of heavy-duty truck energy replenishment
Recently, Chewang Technology, an enterprise within the Qianfang Technology system, released the "Intelligent Engine" Heavy Truck Energy Big Model 1.0. This is the industry's first vertical AI model for new energy heavy truck charging planning. By comprehensively analyzing multiple factors such as vehicle battery level, route, station status, and electricity price, it recommends the optimal energy replenishment plan for new energy heavy trucks, transforming heavy truck charging from "relying on experience" to "relying on algorithms".
Qianfang's Extension of Transportation-Energy Integration Business Layout: From Infrastructure Construction to Charging Route Planning
In June this year, eleven departments including the Ministry of Transport and the National Development and Reform Commission jointly issued the "Implementation Plan for Promoting the Large-scale Application of New Energy Heavy Trucks", clarifying the main goals by 2030: the penetration rate of new energy heavy trucks will reach 40%, the number of vehicles in stock will exceed 1.6 million, and about 3,000 heavy truck charging and swapping stations will be built. This is the first multi - department coordinated special implementation document for heavy trucks at the national level, marking the official start of the replacement cycle of the domestic trillion - level diesel heavy trucks.
Qianfang Technology entered the new energy track relatively early in the industry. It self - developed a full range of charging pile products and promoted the construction of new energy infrastructure in the "investment, construction, and operation integration" mode. Currently, it has built the framework of the energy replenishment network along major freight channels such as port distribution and coal transportation in Tianjin, Datong, Shuozhou, Xinzhou and other places.
The launch of the "Intelligent Engine" Heavy Truck Energy Big Model this time is that on the basis of providing new energy infrastructure services, Qianfang introduced AI capabilities into the charging route planning and operation scheduling links to provide customers with refined operation plans for heavy trucks. It marks Qianfang's extension from infrastructure construction to data - intelligent services in the new energy business layout, and also reflects the upgrade of the business model from "project - driven" to "technology - product - driven".
Implementation of the "Intelligent Engine" Heavy Truck Energy Big Model: Charging from "Relying on Experience" to "Relying on Algorithms"
For a long time, the charging of new energy heavy trucks has relied on personal experience, with high energy replenishment costs and long waiting times. There is a large room for optimizing the operation efficiency. Qianfang has been deeply involved in heavy truck energy services for more than 10 years. It has cooperated deeply with oil and gas suppliers such as PetroChina, established more than 10,000 cooperation outlets covering 25 provinces across the country, and served more than 60,000 enterprise customers and more than 2 million individual drivers in total. It has formed a deep understanding of when to replenish energy, where to replenish energy, and what factors affect the energy replenishment decision.
Based on the in - depth understanding of the heavy truck operation scenario, Qianfang integrated the vehicle SOC, trajectory, charging behavior, and station network dynamic data accumulated over the years with the capabilities of the AI big model to create the "Intelligent Engine" Heavy Truck Energy Big Model.
This model can quickly deduce the optimal charging plan within two seconds by comprehensively analyzing more than ten factors such as the vehicle's remaining battery level, current location, destination, driving route, real - time queuing status of charging stations along the way, and peak - valley time - of - use electricity price, and accurately answer the questions of "where to charge, when to charge, how much to charge, and how much it costs" for new energy heavy trucks.
This model has completed internal testing on multiple core freight trunk lines across the country, with more than 10,000 new energy heavy trucks tested in total and more than 500,000 charging times processed. The results show that the average single - charging electricity cost can be reduced by 11.3%, and each heavy truck can save nearly 10,000 yuan in charging costs per year; the invalid waiting time for charging is compressed from 42 minutes to 27 minutes, with a compression ratio of 36.3%, effectively improving the vehicle operation efficiency; the user adoption rate of the plan reaches 74.2%, fully verifying the implementation value of the model.
Empowering Road Freight to Reduce Costs and Increase Efficiency: Providing Intelligent Energy Replenishment Services
Currently, the "Intelligent Engine" Heavy Truck Energy Big Model 1.0 has been deeply integrated into products such as the new energy fleet intelligent management platform. By intelligently planning the optimal charging routes for new energy heavy trucks of logistics enterprises, it can accurately seize the benefits of off - peak electricity and avoid queuing stations, reducing the overall transportation cost. Enterprises can also view the whole - team energy consumption data, charging records, and abnormal warnings in one - stop on the background, realizing the digital and intelligent upgrade of the fleet energy operation.
By continuously upgrading the algorithm capabilities, the "Intelligent Engine" Heavy Truck Energy Big Model is expected to launch an iterative version in the second half of the year, adding core functions such as multi - vehicle coordinated planning for fleets and real - time electricity price dynamic access, extending from the optimal single - vehicle plan to the overall fleet scheduling, and continuously empowering road freight to reduce costs and increase efficiency.
Based on the real - time scheduling and route planning capabilities continuously accumulated in energy replenishment practice, the "Intelligent Engine" Heavy Truck Energy Big Model can be directly applied to the energy management link of autonomous driving in the future, providing energy support for the large - scale implementation of the company's trunk logistics autonomous driving business.