With China’s growing new-vehicle market in the throes of a price war, some automakers plan to build on their success with a ...

On April 16, Dongfeng Motor's premium NEV brand VOYAH officially launched its new architecture for Level 3 (L3) advanced driver assistance functions, Tian Yuan, during a dedicated technology event.

MUSE Creative Awards S1 Full Results Announced 2025 MUSE Design Awards S1 Full Results Announced 2025 MUSE Creative Awards S2 C ...

The 2025 NEW ENERGY VEHICLES EXPORT EXPO will further strengthen global partnerships, consolidate high-quality resources across the industrial value chain, and build a more influential international ...

The integrated wheel motor was found back in 1900 but was shelved due to the rise and popularity of internal combustion ...

A worker works at an assembly line of Voyah, a Chinese NEV brand, in Wuhan, central China's Hubei Province, April 9, 2025.

(250409) -- WUHAN, April 9, 2025 (Xinhua) -- A worker works at an assembly line of Voyah, a Chinese NEV brand, in Wuhan, central China's Hubei Province, April 9, 2025. The 200,000th vehicle of Voyah ...

Founded in April 2019, VOYAH was the first NEV brand launched by Dongfeng Motor. The company has built a diversified product lineup comprising the FREE SUV, the Dreamer MPV, the Passion sedan, and the ...

More than that, it's a win-win for both. Chinese brand Voyah is rolling off its production line at the plant of Motorinvest, a popular Russian auto manufacturer. Thanks to the local production ...

State-owned Dongfeng Motor Group has begun introducing DeepSeek's R1 artificial intelligence model in its Zhiyin SUV from the Voyah line of new energy vehicles, using over-the-air updates.

On March 14, a China-Europe freight train (Wuhan) Dongfeng special train, fully loaded with Dongfeng Motor's VOYAH-branded vehicles, departed from Wuhan, the capital city of Hubei Province. Beijing ...

The AI-enhanced automation processes are being deployed in Mercedes' quality control and production monitoring, where assistants can analyse production anomalies, detect defects and optimise ...