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Biomechanical knee energy harvester: Design optimization and testing

计算机科学 能量收集 机械能 步态 工作(物理) 汽车工程 能量(信号处理) 模拟 功率(物理) 发电机(电路理论) 电势能 机械工程 工程类 物理医学与康复 数学 统计 物理 医学 量子力学
作者
Moran Gad,Ben Lev-Ari,Amir Shapiro,Coral Ben-David,Raziel Riemer
出处
期刊:Frontiers in Robotics and AI [Frontiers Media]
卷期号:9: 998248-998248 被引量:13
标识
DOI:10.3389/frobt.2022.998248
摘要

Biomechanical energy harvesters are designed to generate electrical energy from human locomotion (e.g., walking) with minimal or no additional effort by the users. These harvesters aim to carry out the work of the muscles during phases in locomotion where the muscles are acting as brakes. Currently, many harvesters focus on the knee joint during late swing, which is only one of three phases available during the gait cycle. For the device to be successful, there is a need to consider design components such as the motor/generator and the gear ratio. These components influence the amount of electrical energy that could be harvested, metabolic power during harvesting, and more. These various components make it challenging to achieve the optimal design. This paper presents a design of a knee harvester with a direct drive that enables harvesting both in flexion and extension using optimization. Subsequently, two knee devices were built and tested using five different harvesting levels. Results show that the 30% level was the best, harvesting approximately 5 W of electricity and redacting 8 W of metabolic energy compared to walking with the device as a dead weight. Evaluation of the models used in the optimization showed a good match to the system model but less for the metabolic power model. These results could pave the way for an energy harvester that could utilize more of the negative joint power during the gait cycle while reducing metabolic effort.
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