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Tasow Parallel Universe 전기 자전거 by Hefei Songguo
Tasow Parallel Universe 전기 자전거 by Hefei Songguo
Tasow Parallel Universe 전기 자전거 by Hefei Songguo
Tasow Parallel Universe 전기 자전거 by Hefei Songguo
Tasow Parallel Universe 전기 자전거 by Hefei Songguo

동 자전거 · 2026

Tasow Parallel Universe 전기 자전거

by Hefei Songguo

  • A' Design Award 동상 2026 in 자전거
  • CLIENT: Tasow
  • Estimated Number of Design Views: 8,629
  • Verification code D2D8339EE8 · Verify this award
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About Tasow Parallel Universe 전기 자전거

Tasow Parallel Universe는 도심 주행을 위해 설계된 전기 자전거입니다. 프레임은 카본 파이버로 제작되었으며, 무게 배분의 균형을 잡기 위해 평행사변형 형태로 조형되었습니다. 배터리와 컨트롤러, 케이블은 프레임 내부 공간에 감춰져 있습니다. 적응형 어시스트 시스템은 여러 개의 센서를 활용해 라이더의 자세, 페달링 힘, 케이던스, 노면 상태에 맞춰 모터 출력을 조절합니다. 경로 계획 시스템은 음성 요청을 통해 주행 경로를 생성합니다. 전방과 후방 카메라는 짧은 영상을 기록하고 측면 및 후방 사각지대를 감시하며, 소리와 빛으로 경고를 제공합니다.

About the A' Design Award 동상

Tasow Parallel Universe 전기 자전거, 이 작품은 A' Design Award 동상 수상작으로, 창의성, 독창성, 영민함으로 돋보이는 뛰어난 디자인에 수여되는 높은 권위의 인정입니다. 동상 수상작은 충분히 숙련되고 인상적으로 창의적인 작품으로, 디자이너의 폭넓은 경험, 상상력, 기지를 입증합니다. Tasow Parallel Universe 전기 자전거, 이 작품은 높이 평가받고 감탄과 사랑을 받는 사물로서 두드러지게 전문적이고 혁신적일 것으로 기대됩니다. 이 동상 수상 디자인은 예술, 과학, 디자인, 기술의 모범 사례를 담고 있으며 세부에 대한 주의로 훌륭합니다. Tasow Parallel Universe 전기 자전거, 이 작품은 필요를 훌륭하게 충족하고 욕망에 닿으며 감정을 매료하고 호기심을 불러일으킵니다.

Press Kit

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.

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