由設計師 Jing Zhao and Zhenghai Shang 創作嘅 Ieo 電動重型叉車 係備受推崇嘅 2026 A' Design Award 白金獎 得獎作品，獲獎類別為 重型機械設計。
白金重型機械· 2026
Ieo 電動重型叉車
由 Jing Zhao and Zhenghai Shang
客戶: Heli Forschungs- und Entwicklungszentrum Europe GmbH
重型機械 類別嘅 A' Design Award 白金獎 得獎者
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經驗證嘅獲獎者
驗證設計 #181040 嘅獲獎狀態設計
關於 Ieo 電動重型叉車
Ieo係一款專為港口同重型物流作業而設計嘅電動重型叉車。快速充電電池只需充電一個鐘,即可提供長達10個鐘嘅運作時間,能源效率比同類柴油系統高出40個百分點。180度旋轉座椅、AR輔助360度全景視野同語音控制,令操作更加直觀。自適應配重同模組化貨叉提升咗安全性、穩定性同多用途性。可循環再用嘅物料同模組化生命週期設計,延長咗使用壽命,並減低重型貨物處理過程中嘅排放。
榮譽認可
關於A' Design Award 白金獎
Ieo 電動重型叉車是 A' Design Award 白金獎得主，這是授予真正卓越、優雅和宏偉設計的極具聲望的認可。白金獎得主是創造的奇蹟，是智力創造力極限的見證，展現出其設計師無與倫比的專業精神和天才。這些設計被期待成為定義一個時代的美學、造福社會、並拓展藝術、科學、設計和技術界限的最負盛名的作品。Ieo 電動重型叉車展現出超凡脫俗的卓越水準，以其有益而寶貴的特質毫無疑問地讓世界變得更美好。Ieo 電動重型叉車是一件贏得 A' Design Award 白金獎的作品，它喚起慾望，啟發人心，令人愉悅，並迸發出巨大的喜悅。
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
- IEO redefines heavy logistics with zero-emission power and human-centered intelligence. Its fast-charging battery provides 10 hours of operation after one hour of charging-40% more efficient than diesel. A 180° rotating seat, AR-assisted 360° vision, and voice control enable intuitive operation. Adaptive counterweights and modular forks improve safety and versatility. Built with recyclable materials and a modular lifespan design, IEO evolves from machine to smart partner for a greener future.
- 尺寸同包裝
- Width 12450mm x Depth 4180mm x Height 4720mm
- 標籤
- Heavy-duty forklift, electric forklift, AI-Assisted Vision, 180 rotatable seat, Truck, Sustainable Industrial Design, Ergonomic Design
- 生產技術
- High-capacity zero-emission electric drivetrain engineered for ultra-heavy load applications.
Fast-charging lithium-ion battery system: 1-hour rapid charge enabling up to 10 hours of continuous operation, delivering 40% higher energy efficiency than conventional diesel systems.
180° rotating ergonomic seat integrated with AR-assisted 360° surround vision and AI-driven predictive safety monitoring.
Voice-activated digital cockpit featuring HUD interface and intelligent navigation architecture.
Modular fork configuration with adaptive counterweight system for optimized load stability and operational flexibility.
Advanced ergonomic engineering to minimize operator fatigue and enhance handling precision. - 設計挑戰
- The primary challenge was resolving the endurance–load paradox: delivering zero-emission electric power at a 55-ton capacity while maintaining structural integrity, stability, safety compliance, and operational efficiency in extreme port environments.
A second challenge was balancing industrial robustness with automotive-level comfort and intelligent interaction. Introducing AI vision, AR navigation, and a car-like cockpit had to enhance usability without increasing system complexity or disrupting operator familiarity.
Integrating heavy-duty engineering, modular architecture, and digital intelligence into a scalable, production-ready platform required extensive cross-disciplinary validation, cost control, and lifecycle optimization. - 研究
- Research Background:
Heavy-duty forklifts face three critical challenges: high emissions, operator fatigue, and limited safety systems. As global ports move toward carbon neutrality, there is increasing demand for electrified, intelligent equipment that balances ultra-heavy load capacity with endurance, comfort, and sustainability.
Methods:
Field observations in port operations, in-depth operator interviews, ergonomic studies, and competitive benchmarking were conducted. Engineering feasibility studies and sustainability lifecycle assessments guided concept validation.
Tools:
Anthropometric data analysis, digital cockpit simulation, AR vision testing, CAD/CAE structural modeling, battery performance modeling, and lifecycle carbon assessment tools supported development.
Participants:
Forklift operators, logistics managers, safety engineers, R&D engineers, and industrial designers across European and Asian markets.
Results and Insights:
Research revealed that comfort, intuitive interaction, and zero-emission performance are as critical as load capacity. Integrating lithium electrification, AI-assisted vision, modular systems, and automotive-level ergonomics significantly improves safety (+60%), reduces learning time (–50%), enhances efficiency, and establishes a new paradigm: from heavy machine to intelligent industrial partner. - 靈感
- I work in the cab 8 hours a day, I need comfort, efficiency, and safety, said a swedish forklift driver. High emissions, limited comfort, and inadequate safety systems are the top three pain points. IEO550-700 responds with zero-emission power and human-centered intelligence. Guided by gravity intelligence, it merges mechanical strength with technological lightness, elevating the operator from driver to system conductor through an immersive digital cockpit and adaptive control.
- 項目時長
- The project started in May 2025 in Germany and will finish in May 2027.
- 操作流程
- Smart evolution transforms operation into intelligent orchestration. AI-powered vision and AR navigation optimize workflow awareness, reduce blind spots, and increase operational safety by 60%. Real-time data visualization streamlines decision-making and minimizes process latency.
Human–Machine synergy redefines interaction. A car-like cockpit layout, intuitive controls, and adaptive feedback systems reduce learning time by 50%, enabling seamless control logic, faster task execution, and a smoother transition from traditional operation to intelligent collaboration. - 專利
- Copyrights belong to Heli Forschungs- und Entwicklungszentrum Europe GmbH
- 團隊成員
- Jing Zhao, Zhenghai Shang, Yingchun Bai, Jie Wang, Lin Zhang, Yang Meng, Hongkai Zhang, Chao Hu, Fei Ye，Yue Yang
- 圖片來源
- Heli Forschungs- und Entwicklungszentrum Europe GmbH
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