Home / Metal News / Pony.ai partners with SANY TRUCK, DFLZM to co-develop 4th-gen autonomous trucks

Pony.ai partners with SANY TRUCK, DFLZM to co-develop 4th-gen autonomous trucks

iconNov 19, 2025 11:40
Source:gasgoo
Pony.ai announced on November 19 that it has formed new partnerships with SANY TRUCK and Dongfeng Liuzhou Motor (“DFLZM”) to jointly develop its fourth-generation autonomous heavy-duty truck famil...

Shanghai (Gasgoo)- Pony.ai announced on November 19 that it has formed new partnerships with SANY TRUCK and Dongfeng Liuzhou Motor ("DFLZM") to jointly develop its fourth-generation autonomous heavy-duty truck family. The upcoming system is being built on a scalable, platform-based architecture designed to accommodate multiple vehicle types with minimal adaptation.

The first two models will be developed on the latest battery-electric vehicle (BEV) platforms from SANY TRUCK and Dongfeng Motor, with mass-production programs targeting volumes in the thousands. Initial fleet operations are expected to begin next year. Pony.ai believes that commercializing these products at scale will mark a decisive move toward widespread driverless freight operations.

The fourth-generation hardware suite for autonomous trucks will use exclusively automotive-grade components and share most of the parts used in Pony.ai's latest-generation Robotaxi platform. This component reuse reduces the bill of materials per truck by roughly 70% compared with the previous generation.

Pony.ai highlighted the benefits of its "1+4" convoy model—one lead truck with a safety driver followed by four fully driverless units. Pilot scenarios suggest that this formation could reduce per-kilometer freight costs by 29% and boost margins by nearly threefold compared with conventional trucking. Each vehicle could also cut annual carbon emissions by around 60 tonnes, aligning with China's goals for greener, lower-cost logistics operations.

The new platform inherits the full-redundancy architecture and safety protocols introduced on Pony.ai's next-generation Robotaxi, pushing freight-grade reliability to higher levels. Designed for a 20,000-hour service life, the system is built to support up to one million kilometers of freight hauling.

The trucks will feature a fully redundant drive-by-wire chassis, covering steering, braking, communications, power, computing and perception systems. Each subsystem has dual-backup architecture to ensure continued safe operation under failure conditions. The vehicles will also undergo rigorous electromagnetic, durability, high-temperature and cold-weather testing to withstand the demanding environments of long-haul freight.

China, the world's largest long-haul trucking market, is rapidly advancing toward smarter, automated logistics. Pony.ai began investing in autonomous trucking in 2018 and now operates a fleet of about 200 vehicles that have collectively transported more than one billion tonne-kilometers of goods. The company has also secured many of the country's first road-testing and commercial freight permits for autonomous trucks.

With 2026 marking the start of China's "15th Five-Year Plan," Pony.ai sees the launch of its fourth-generation trucks as a timely convergence of several national priorities: the scaling of new-energy heavy-duty trucks, the maturing of autonomous-driving technology and the rapid decline in hardware costs.

As one of the frontrunners in autonomous freight, Pony.ai says its technology is designed to address long-standing industry challenges, from safety risks and labor shortages to fragmented operations and inconsistent fleet management. The company aims to help build a safer, smarter and lower-carbon logistics system through the deployment of new-energy autonomous trucks—supporting more reliable, efficient and sustainable goods movement across China.

Data Source Statement: Except for publicly available information, all other data are processed by SMM based on publicly available information, market exchanges, and relying on SMM's internal database model, for reference only and do not constitute decision-making recommendations.

For queries, please contact Lemon Zhao at lemonzhao@smm.cn

For more information on how to access our research reports, please email service.en@smm.cn

SMM Events & Webinars

All