Systematic Opportunity Scan of Energy Recovery Technologies Applied to Trucks with Electric Refrigerated Units

Á. C. de Carvalho, Matheus H.R. Miranda, Ludmila C. A. Silva, F. Silva, Rafael Rogora Kawano, J. J. Eckert, F. Dedini
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Abstract

This article presents an original research methodology that combines insights from patents and academic research, offering a unique perspective on energy recovery technologies for trucks equipped with refrigeration units. The purpose of the study is to perform a functional analysis of existing solutions and to suggest a mechanism for exposing unexplored areas and opportunities for innovation. To achieve this goal, a systematic opportunity scan is presented, investigating patents and conducting a state-of-the-art search of existing technologies. This scan classifies a diverse range of solutions, elucidating their interconnections and providing an overview of the existing technological area, covering system components and technical trends. Thus, the main functions and components are listed, as well as the system requirements. Once the functions have been surveyed, a morphological matrix is proposed, and five main functions are analyzed. This methodology makes it possible to list the majority of the possible solutions for the functions analyzed, taking into account the components observed in the literature review and patents, including new components raised by the research group. Finally, with the morphological matrix structure, it was possible to combine unexplored elements, achieving innovative solutions.
对应用于电动冷藏装置卡车的能源回收技术进行系统机会扫描
本文介绍了一种原创性的研究方法,该方法结合了专利和学术研究的见解,为配备制冷装置的卡车的能源回收技术提供了一个独特的视角。研究的目的是对现有解决方案进行功能分析,并提出一种机制,以揭示尚未开发的领域和创新机会。为了实现这一目标,我们提出了一个系统性的机会扫描,对专利进行调查,并对现有技术进行最先进的搜索。该扫描对各种解决方案进行了分类,阐明了它们之间的相互联系,并概述了现有技术领域,包括系统组件和技术趋势。因此,主要功能和组件以及系统要求都已列出。在对功能进行调查后,提出了一个形态矩阵,并对五个主要功能进行了分析。通过这种方法,可以列出所分析功能的大多数可能解决方案,同时考虑到文献综述和专利中观察到的组件,包括研究小组提出的新组件。最后,利用形态矩阵结构,有可能将未探索的元素结合起来,实现创新解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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