Quick Takeaways
  • Dongfeng Liuzhou Motor targets major growth in commercial, passenger, and overseas markets by 2030.
  • Hydrogen, electric trucking, and intelligent driving technologies are central to its future roadmap.

China-based Dongfeng Liuzhou Motor Co., Ltd. announced its five-year strategic roadmap during its Brand Customer Day event held on June 8. The company outlined ambitious targets for the 2026–2030 period as it seeks to strengthen its position in commercial vehicles, passenger cars, and overseas markets. The strategy also highlights a transition from a manufacturing-focused business model toward a broader service and ecosystem-driven approach. Through investments in intelligent mobility and new energy technologies, the company aims to establish a stronger presence across multiple automotive segments while accelerating its long-term transformation.

Sales and Market Expansion Targets Through 2030

Under the newly announced roadmap, the company aims to achieve annual commercial vehicle sales of 70,000 units and become the market leader in southern China. In the passenger vehicle segment, annual sales are targeted at 250,000 units, with particular emphasis on the MPV market. Overseas operations are expected to expand significantly, with annual exports projected to reach 155,000 units by 2030. These objectives reflect the company's broader strategy to diversify revenue streams while increasing global competitiveness through advanced technologies and customer-centric services.

Strategic Cooperation for Intelligent Driving Solutions

Following the strategy launch, Huawei and Dongfeng Liuzhou Motor formalized cooperation for the Forthing brand Xinghai model series. The partnership centers on integrating Huawei's Qiankun Intelligent Driving advanced autonomous driving system into future vehicles. Both companies plan to collaborate extensively on intelligent vehicle technologies and mobility solutions. The first production model under this alliance will be the Xinghai V6, positioned as an affordable six-seater equipped with Huawei Qiankun Intelligent Driving capabilities, expanding access to advanced driver assistance technologies for a broader customer base.

New Energy Commercial Vehicles Unveiled

At the event, the company introduced two strategic products developed on its T1 New Energy Commercial Vehicle Platform. These vehicles demonstrate Dongfeng Liuzhou Motor's commitment to hydrogen and battery-electric technologies for heavy-duty transport applications. The newly unveiled models are designed to address efficiency, sustainability, and intelligent fleet management requirements while supporting the industry's transition toward lower-emission transportation systems.

Key Specifications of Newly Unveiled Vehicles

Vehicle Key Highlights
Chenglong H7 PRO Hydrogen Edition 400kW fuel cell stack, 7kg hydrogen per 100 km, over 1,700km range
Chenglong Yiwei 5 Super Edition 8.8-ton curb weight, 1 kWh/km consumption, 20-minute charging

Chenglong H7 PRO Hydrogen Edition

The Chenglong H7 PRO Hydrogen Edition is equipped with a 400kW high-power, high-efficiency fuel cell stack. Combined hydrogen consumption is as low as 7kg per 100 km. The vehicle incorporates a 75MPa high-pressure hydrogen storage system with liquid hydrogen compatibility and a maximum hydrogen storage capacity of 125kg. These specifications enable the truck to achieve a driving range exceeding 1,700km, making it suitable for long-distance commercial transport operations where rapid refueling and extended range are critical performance factors.

Chenglong Yiwei 5 Super Edition

The Chenglong Yiwei 5 Super Edition electric heavy-duty truck features a curb weight of only 8.8 tons while maintaining combined energy consumption as low as 1 kWh/km. It supports megawatt-level ultra-fast charging, allowing energy replenishment within 20 minutes. The vehicle is also equipped with intelligent driving assistance functions and AI-powered cloud-based platooning capabilities. These technologies are intended to improve fleet efficiency, optimize energy usage, and enhance operational safety for commercial transportation applications.

Expansion into Recreational Vehicles

Beyond commercial transportation, Dongfeng Liuzhou Motor is extending its new energy vehicle research into the recreational vehicle segment. The Yiwei 2 RV made its debut during the event and offers a driving range of up to 1,400 km. The vehicle is engineered to continuously power onboard appliances such as air conditioning systems, refrigerators, and multimedia equipment while parked. This capability supports evolving customer expectations for mobile living solutions and highlights the company's broader ambitions within emerging mobility markets.

Frequently Asked Questions

What are the major goals of Dongfeng Liuzhou Motor's 2030 strategy?
Dongfeng Liuzhou Motor aims to significantly expand sales across commercial, passenger, and overseas markets by 2030. The company targets annual sales of 70,000 commercial vehicles, 250,000 passenger vehicles, and 155,000 overseas units. In addition to growth targets, it seeks to transition from a manufacturing-oriented company into a service- and ecosystem-oriented enterprise. The strategy also emphasizes intelligent driving technologies, hydrogen mobility, electric commercial vehicles, and broader adoption of new energy solutions across multiple transportation segments.

What new technologies were showcased during the Brand Customer Day event?
The event highlighted several advanced mobility technologies spanning intelligent driving, hydrogen power, and electric transportation. The partnership with Huawei introduces Qiankun Intelligent Driving systems into future vehicles, beginning with the Xinghai V6. The Chenglong H7 PRO Hydrogen Edition features fuel cell technology and long-range capability exceeding 1,700km. Meanwhile, the Yiwei 5 Super Edition offers ultra-fast charging, intelligent driving assistance, and AI-powered platooning functions, reflecting the company's focus on next-generation commercial mobility solutions.

Official Disclosures, Public Data & GAI Analysis

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