Permanent Magnet Linear Synchronous Generators (PMLSG) has high power density and high efficiency, which is always employed in industrial application field. However, as temperature increases, it is easy to cause demagnetization of the permanent magnet, and the applications of PMLSG is limited. In this paper, a PMLSG is optimized which is used in a low speed power generation system. Firstly, a multi-physical coupling field system is described, and introduced the main factors which affecting the design of the PMLSM. Secondly, a multi-physics optimization method based on Genetic Algorithm (GA) is to improve the power density and efficiency. At the same time reduce the material cost of the generator. The thermal model is established and analysis the losses of PMLSG. The conductive heat transfer coefficient is calculated. Then, a Finite Element Analysis (FEA) model is established, and the electromagnetic properties of PMLSG were analyzed. The results of the electromagnetic field calculation are imported into the transient thermal analysis model by FEA, and the temperature of each part for PMLSG are calculated. Finally, an experimental test platform is built for verifying the correctness of the analysis.

中文翻译：

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波浪能转换永磁线性同步发电机的多物理耦合场


永磁线性同步发电机（PMLSG）具有高功率密度和高效率，一直被应用于工业应用领域。但随着温度升高，容易引起永磁体退磁，PMLSG的应用受到限制。本文对用于低速发电系统的PMLSG进行了优化。首先描述了多物理耦合场系统，并介绍了影响PMLSM设计的主要因素。其次，基于遗传算法（GA）的多物理场优化方法是为了提高功率密度和效率。同时降低发电机的材料成本。建立热模型并分析PMLSG的损耗。计算传导传热系数。然后建立有限元分析(FEA)模型，对PMLSG的电磁特性进行分析。通过FEA将电磁场计算结果导入瞬态热分析模型，计算PMLSG各部分的温度。最后搭建实验测试平台验证分析的正确性。