Optimization Design and Analysis of High-Power LED Heat Radiator Based on Genetic Algorithm and Matlab Simulation
Li Jingsong1,2, Yang Qingxin1,2, Niu Pingjuan3, Zhang Xian2, Zhang Jianxin3, Jin Liang2, Li Yang2
1. Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability Hebei University of Technology Tianjin 300130 China 2. Tianjin Key Laboratory of Advanced Electrical Engineering and Energy Technology Tianjin Polytechnic University Tianjin 300387 China 3. High Power Semiconductor Lighting Applications System Engineering Research Centre of Ministry of Education Tianjin Polytechnic University Tianjin 300387 China
Abstract：The optimized combination of cooling influence model of LED which based on the theory of the genetic algorithm sets the dimensions of the radiator and the fin parameters as its optimization objective, is in accordance with the research of the relation between the heat transfer and resistance performance and radiator structure parameters. The Matlab programming optimization program and simulation calculation works on the basis of the genetic optimization algorithm steps and process design. Through the comparison between experiment test result with algorithm optimized simulation, it reaches a conclusion that optimized radiator based on genetic algorithm can not only enhance its heat transfer performance, it can reduce its design and operation cost, meanwhile, besides its versatility and practical value, it can be applied to the optimizing design of a variety of thermal radiators for it also reduce a reliance on the designer experience.
李劲松, 杨庆新, 牛萍娟, 张献, 张建新, 金亮, 李阳. 基于遗传算法及MATLAB仿真的大功率LED散热器优化设计与分析[J]. 电工技术学报, 2013, 28(2增): 213-220.
Li Jingsong, Yang Qingxin, Niu Pingjuan, Zhang Xian, Zhang Jianxin, Jin Liang, Li Yang. Optimization Design and Analysis of High-Power LED Heat Radiator Based on Genetic Algorithm and Matlab Simulation. Transactions of China Electrotechnical Society, 2013, 28(2增): 213-220.
[1]Li Jingsong, Yang Qingxin, Niu Pingjuan, et al. Research on the surface convection heat transfer coefficient of LED lamp[J]. Chin.J.Lumin, 2012, 33(6): 628-632. [2]Daeseok Jang, Seung Hwan Yu, Kwan Soo Lee. Multidisciplinary optimization of a pin-fin radial heat sink for LED lighting applications[J]. International Journal of Heat and Mass Transfer, 2012, 55(3): 515-521. [3]Xu Xiang, Bi Xiaoping. Optimization design of vehicle heat radiator based on inheritance algorithm[J]. Journal of Academy of Armoured Force Engineering, 2008, 22(5): 28-31. [4]Li Ming. The study on improved genetic algorithm and Its application in optimization questions[D]. Changchun: Jilin University, 2004. [5]Hu Feng. Multi-objective optimization design of automobile powertrain parametric based on genetic algorithm[D].Wuhan: Wuhan University of Science and Technology, 2010. [6]Liu Zhenyu, Cheng Huier, Yang Jing. Optimization design analysis of primary surface heat exchanger[J]. Journal of Shanghai Jiaotong University, 2008, 42(1):117-121. [7]Hu Defu. Combined with the improved genetic algorithm and the BP neural network of rock prediction research[J]. Railway Survey and Design, 2011, 23(2): 94-96. [8]Wang Xiaoping, Cao Liming. Genetic algorithm- theory, applications and software realization[M]. Xi’an: Xi’an Jiaotong University, 2003. [9]Wang Hailong, Chen Shanjie, Li Qian, et al. Research of data-collection system based on Matlab[J]. Chinese Agricultural Science Bulletin, 2007, 23(1):381-384. [10]Lan Kim, Moo Whan Shin. Thermal resistance measurement of LED package with multichip[J]. IEEE Transactions on Components and Packaging Technologies, 2007, 30(4): 632-636.
2013, Vol. 28 
