Tasow Parallel Universe 電動アシスト自転車 by Hefei Songguo

Tasow Parallel Universe 電動アシスト自転車 by Hefei Songguo is a highly esteemed winner of the very prestigious 2026 A' Design Award 銅賞 in 自転車デザイン Competition Category.

銅自転車· 2026

Tasow Parallel Universe 電動アシスト自転車

by Hefei Songguo

Client: Tasow

A' Design Award 銅賞 Winner in 自転車 Category

8,629
Verified Award Winner
Verify Award Status for #179852

Visit Site View at A' Design Award Press Release Award Badge

Colors

The Design

About Tasow Parallel Universe 電動アシスト自転車

Tasow Parallel Universeは、都市部での走行を想定して設計された電動アシスト自転車である。フレームはカーボンファイバー製で、重量配分のバランスを取るために平行四辺形の形状としている。バッテリー、コントローラー、ケーブル類はフレーム内部の空洞に収納されている。適応型アシストシステムは複数のセンサーを用い、ライダーの姿勢、ペダリングの踏力、ケイデンス、路面状況に応じてモーター出力を調整する。ルート計画システムは音声によるリクエストからルートを作成する。前後のカメラは短い動画を記録し、側方および後方の死角を監視して、音と光による警告を発する。

The Recognition

About the A' Design Award 銅賞

Tasow Parallel Universe 電動アシスト自転車は、創造性、独創性、鋭い洞察力で際立つ傑出したデザインに授与される、高い権威をもつ評価である A' Design Award 銅賞の受賞作品です。銅賞の受賞作品は、十分に巧みで印象的なほど創造的な工芸品であり、デザイナーの豊富な経験、想像力、機知を裏づけています。Tasow Parallel Universe 電動アシスト自転車は、高く評価され、称賛され、愛される品であり、顕著にプロフェッショナルで革新的であることが期待されます。この A' Design Award 銅賞を受賞したデザインは、芸術・科学・デザイン・技術のベストプラクティスを取り入れており、細部への配慮に優れています。Tasow Parallel Universe 電動アシスト自転車は、ニーズを見事に満たし、欲求に触れ、感情を魅了し、好奇心を引きつけます。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: This ebike, centered on the philosophy of AI empowered free riding, integrates an AI adaptive assist system, an AI context aware experience planning system, an AI video editing function, and a 360 degree active sentinel safety system. It achieves a comprehensive revolution across performance, interaction, and protection, making every ride easier, safer, and more enjoyable.
Dimensions & Packaging: product dimensions, 1846 mm x 1044 mm x 653 mm
Tags: Ebike, AI Adaptive Assist System, AI Context Aware Experience Planning System, 360 Degree Active Sentinel Safety System, AI Video Editing, Minimalist Appearance
Production Technology: The carbon fiber frame features exceptional structural strength, a light weight, and high recyclability.
The parallelogram frame not only exudes elegance and dynamism but also optimizes weight distribution for enhanced riding stability. Core components such as the battery and controller are fully integrated into the frame cavity, complemented by a 100 percent concealed cable layout, improving visual cohesion, doubling cable lifespan, and improving aerodynamic performance.
Design Challenge: The challenge was offering seamless, responsive assistance. To address this, the ebike employs an AI adaptive assist system with multiple sensors, adjusting power output in real time based on the posture, pedaling force, and cadence of the rider, as well as road conditions. The result is a smart companion that truly understands riding. The system also features a torque sensor with plus or minus 2 percent accuracy and a response time under 10 ms,ensuring power output matches every pedal stroke.
Research: The ebike redefines user experience through a hardware software synergy. It merges multiple sensors with AI adaptive assist technology, dynamically adjusting motor assistance based on rider movements and road conditions. The AI context aware experience planning system intelligently plans routes and precisely caters to diverse user needs such as health and exploration. The 360 degree active sentinel safety system enhances riding safety through continuous monitoring and proactive alerts.
Inspiration: In urban commuting, travel is often reduced to efficiency driven point to point movement, confining individuals to fixed routes and enclosed cabin spaces. Most existing ebikes remain limited to mere transportation tools, failing to fully unlock the potential of two wheeled mobility in terms of flexibility, health benefits, and urban awareness. This ebike is designed not just as a means of transport, but as a mobile living space, transforming riding into a personal journey through the city.
Project Duration: The project started in Beijing in July 2024. The product was launched in China in May 2025, and entered mass production with customer deliveries commencing in July 2025.
Operation Flow: The AI context aware experience planning system integrates large language models and a multi agent decision making architecture. Users simply describe their needs by voice, and the system will generate the optimal route. The front and rear cameras automatically capture key moments and compile them into short videos, creating shareable riding memories.
The 360 degree active sentinel safety system monitors blind spots on the sides and rear, and provides audio visual alerts for proactive protection.
Team Members: Guanglong Zhai