naa a22 4500 510801889 CHVBK 20180411083359.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s11664-012-2291-3 doi (NATIONALLICENCE)springer-10.1007/s11664-012-2291-3 A Novel Optimization Method for the Electric Topology of Thermoelectric Modules Used in an Automobile Exhaust Thermoelectric Generator [Elektronische Daten] [Rui Quan, Xinfeng Tang, Shuhai Quan, Liang Huang] Based on Bi2Te3 thermoelectric modules, a kind of automobile exhaust thermoelectric generator (AETEG) with a single-column cold-source structure was designed. To enhance its net power and efficiency, the output performance of all the thermoelectric modules was tested with a temperature monitoring unit and voltage monitoring unit, and modeled using a back-propagation (BP) neural network based on various hot-source temperatures, cold-source temperatures, load currents, and contact pressures according to the temperature distribution of the designed heat exchanger and cooling system. Then, their electric topology (series or parallel hybrid) was optimized using a genetic algorithm to achieve the maximum peak power of the AETEG. From the experimental results, compared with when all the thermoelectric modules were connected only in series or parallel at random, it is concluded that the AETEG performance is evidently affected by the electric topology of all the single thermoelectric modules. The optimized AETEG output power is greatly superior to the other two investigated designs, validating the proposed optimized electric topology as both feasible and practical. TMS, 2012 Thermoelectric modules nationallicence automobile exhaust thermoelectric generator nationallicence electric topology nationallicence genetic algorithm nationallicence Quan Rui State Key Laboratory of Advanced Technology for Material Synthesis and Processing, Wuhan University of Technology, Wuhan, China aut Tang Xinfeng State Key Laboratory of Advanced Technology for Material Synthesis and Processing, Wuhan University of Technology, Wuhan, China aut Quan Shuhai School of Automation, Wuhan University of Technology, Wuhan, China aut Huang Liang School of Automation, Wuhan University of Technology, Wuhan, China aut Journal of Electronic Materials Springer US; http://www.springer-ny.com 42/7(2013-07-01), 1469-1475 0361-5235 42:7<1469 2013 42 11664 https://doi.org/10.1007/s11664-012-2291-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11664-012-2291-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Quan Rui State Key Laboratory of Advanced Technology for Material Synthesis and Processing, Wuhan University of Technology, Wuhan, China aut NATIONALLICENCE 700 1- Tang Xinfeng State Key Laboratory of Advanced Technology for Material Synthesis and Processing, Wuhan University of Technology, Wuhan, China aut NATIONALLICENCE 700 1- Quan Shuhai School of Automation, Wuhan University of Technology, Wuhan, China aut NATIONALLICENCE 700 1- Huang Liang School of Automation, Wuhan University of Technology, Wuhan, China aut NATIONALLICENCE 773 0- Journal of Electronic Materials Springer US; http://www.springer-ny.com 42/7(2013-07-01), 1469-1475 0361-5235 42:7<1469 2013 42 11664 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer