Mixed topology optimization: A self-guided boundary-independent approach for power sources
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Publication Details
Author list: Mehrzad Alizadeh, Patcharawat Charoen-amornkitt, Takahiro Suzuki, Shohji Tsushima
Publisher: Elsevier
Publication year: 2023
Journal: Energy Conversion and Management (0196-8904)
Volume number: 294
Start page: 117567
ISSN: 0196-8904
URL: https://www.sciencedirect.com/science/article/pii/S0196890423009135?via%3Dihub
Abstract
As the use of electrochemical devices becomes more prevalent, advanced optimization techniques, such as topology optimization, are being employed to improve their performance. Among various electrochemical systems, power sources have an intrinsic best operating point that corresponds to the maximum output power. This study proposes a mixed topology optimization approach to enhance the performance of these systems by a simultaneous modification of electrode structure and the working condition. In contrast to the conventional approaches, the proposed method focuses on enhancement of the maximum power point. Thanks to its self-guidance feature, this technique outperforms conventional topology optimization methods and eliminates the need for a prior decision on the optimization starting point. Therefore, the proposed approach has a significant potential for adapting the material distribution to the best working condition. The proposed approach enables more effective topological optimization and takes the utilization of topology optimization in power sources to the next level.
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