摘要
针对现在汽车上广泛应用的爪极发电机运行效率低的问题,利用电机三维有限元分析找出其效率低的主要原因是存在严重的漏磁现象。通过优化爪极发电机的结构参数达到最小化漏磁从而间接地达到提高电机效率的目的是本文研究的出发点。爪极发电机结构参数优化需要进行大规模的迭代计算,为了降低优化计算的成本,引入了基于支持向量机非参数建模思想,非参数模型和智能优化算法的运用达到了最小化爪极发电机漏磁的目的,试验结果验证了理论分析的正确性。
A practical status is inefficient when the claw-pole alternator is widely used in automobile application, and the serve leakage is the main cause of it according to analyzing results by the three dimensional (3D) finite element (FE). Minimizing leakage by optimizing structure parameters, so the efficiency enhanced indirectly is the objective of this paper. Optimizing structure parameters of the claw-pole alternator need large-scale iterative calculation, so nonparametric modeling is introduced for debasing the calculation cost. The purpose of minimizing leakage is gained by using nonparametric model and intelligent optimal arithmetic, and the correctness of the theoretic analysis is validated by the exoerimental results.
出处
《电工技术学报》
EI
CSCD
北大核心
2008年第10期23-27,共5页
Transactions of China Electrotechnical Society
基金
国家自然科学基金(50077005)
合肥工业大学科学研究发展基金(060401F)资助项目。
关键词
爪极发电机
效率
漏磁
非参数建模
优化
Claw-pole alternator, efficiency, leakage, nonparametric modeling, optimization