Xiaomi’s Standard‑Size Partition‑Wash Technology Achieves International Lead

Xiaomi’s washing‑machine project, evaluated by the China Light Industry Federation, showcases three core innovations—independent drum suspension, a high‑integration water system, and an AI‑driven full‑frequency drive—that together deliver low‑noise, high‑cleanliness performance and are deemed internationally leading.

Xiaomi Tech
Xiaomi Tech
Xiaomi Tech
Xiaomi’s Standard‑Size Partition‑Wash Technology Achieves International Lead

Washing machines have become essential household appliances, and their performance directly impacts user convenience, health safety, and resource savings. Historically, large‑drum models dominate the market, but evolving consumer needs for precise garment classification have created demand for machines that can handle specific items such as underwear and socks. Xiaomi identified this gap after user feedback and embarked on a research program without any prior industry reference.

Independent suspension based on partition vibration characteristics

The team proposed a novel independent suspension structure for the small and large drums, derived from a box‑suspension rigid‑flex coupling model that clarifies how structural parameters affect vibration of the cabinet and the small drum. By designing a plate‑spring suspension for the small drum and an inertia‑tensor decoupling suspension for the large drum, the solution effectively controls vibration and noise within limited space constraints.

High‑integration, high‑reliability water system for confined spaces

A compact, highly integrated water system was built, featuring a Roman‑column pre‑mix structure that offers excellent mixing with low pressure drop, a one‑stroke small‑drum deaeration spray, and multiple anti‑cross‑water designs. These innovations reconstruct a reliable partitioned drainage system, ensuring stable operation under space limitations.

AI‑driven full‑frequency system based on intelligent perception

The developers created a motor‑fan‑pump full‑frequency system guided by intelligent perception. Using data augmentation, physical constraints, and a reasonable penalty mechanism, they implemented an LSTM neural‑network algorithm together with a DD motor global mesh optimization algorithm. The result is a 40% reduction in weighing error and a 30% improvement in low‑speed load capacity, delivering more efficient washing performance.

The expert assessment committee fully endorsed the innovations, highlighting the breakthrough of achieving partitioned washing within a standard‑size cabinet and recognizing the three core technologies as internationally leading. The committee noted that Xiaomi’s solution sets a new industry trend and reshapes technical standards.

Looking ahead, Xiaomi plans to deepen its core smart‑appliance R&D, leveraging independent innovation to drive industry upgrades and provide users with quieter, smarter, high‑end washing experiences.

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LSTMXiaomiwashing machineAI controlpartition washingvibration isolation
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