Hefei Songguo 嘅作品 Tasow Parallel Universe 電動單車

由設計師 Hefei Songguo 創作嘅 Tasow Parallel Universe 電動單車係備受推崇嘅 2026 A' Design Award 銅獎得獎作品，獲獎類別為單車設計。

銅單車· 2026

Tasow Parallel Universe 電動單車

由 Hefei Songguo

客戶: Tasow

單車類別嘅 A' Design Award 銅獎得獎者

9,246

經驗證嘅獲獎者

驗證設計 #179852 嘅獲獎狀態

訪問網站喺 A' Design Award 查看新聞稿獎項徽章

色彩

設計

關於 Tasow Parallel Universe 電動單車

Tasow 平行宇宙係一款專為城市騎行而設計嘅電動單車。車架採用碳纖維製造，並以平行四邊形嘅造型嚟平衡重量分佈。電池、控制器同線纜全部隱藏喺車架內腔入面。自適應助力系統透過多個感應器，根據騎士嘅姿勢、踩踏力度、踏頻同路面狀況嚟調節摩打輸出。路線規劃系統可以根據語音指令嚟制定路線。前後鏡頭可以錄製短片、監察側面同後方盲點，並發出聲響同燈光警示。

榮譽認可

關於A' Design Award 銅獎

Tasow Parallel Universe 電動單車是 A' Design Award 銅獎得主，這是授予以創造力、獨創性和敏銳見長的傑出設計的極具聲望的認可。銅獎得主是技藝嫻熟、創意驚人的作品，印證了其設計師豐富的經驗、想像力與機智。預計Tasow Parallel Universe 電動單車將成為一件備受推崇、令人欽佩且被珍愛的物品，兼具顯著的專業性與創新性。這件贏得 A' Design Award 銅獎的設計融入藝術、科學、設計和技術領域的最佳實踐，並因注重細節而出類拔萃。Tasow Parallel Universe 電動單車出色地滿足需求，觸動渴望，迷住情感，並吸引好奇心。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性: 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.
尺寸同包裝: product dimensions, 1846 mm x 1044 mm x 653 mm
標籤: Ebike, AI Adaptive Assist System, AI Context Aware Experience Planning System, 360 Degree Active Sentinel Safety System, AI Video Editing, Minimalist Appearance
生產技術: 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.
設計挑戰: 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.
研究: 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.
靈感: 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.
項目時長: 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.
操作流程: 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.
團隊成員: Guanglong Zhai