Optimization of Thermoelectric Modules’ Number and Distribution Pattern in an Automotive Exhaust Thermoelectric Generator
Thermoelectric generators are efficient devices to recover energy from the automotive exhaust gas. In this paper, conversion efficiency of automotive thermoelectric generator (ATEG) and the maximum electrical power generated by the ATEG, defining as the power output of the ATEG excluding the energy...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8725574/ |
| _version_ | 1818349508907499520 |
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| author | Xiaolong Li Changjun Xie Shuhai Quan Ying Shi Zebo Tang |
| author_facet | Xiaolong Li Changjun Xie Shuhai Quan Ying Shi Zebo Tang |
| author_sort | Xiaolong Li |
| collection | DOAJ |
| description | Thermoelectric generators are efficient devices to recover energy from the automotive exhaust gas. In this paper, conversion efficiency of automotive thermoelectric generator (ATEG) and the maximum electrical power generated by the ATEG, defining as the power output of the ATEG excluding the energy loss caused to the engine improved by optimizing the number of thermoelectric modules (TEMs) and its distribution pattern in an ATEG. An advanced numerical model of ATEG considering the effect of the heat transfer among the adjacent TEMs' rows is developed with Simulation-X software. In order to acquire the ATEG's optimal electrical performance, a 3-step optimization is applied. First, 17 independent factors (the number of TEMs in each row from 1 to 18) are assessed and the significant parameters are screened using Plackett-Burman design. Second, an experiment designed with a central composite design is performed to analyze the sensitivity of six selected factors and a surrogate model is built through response surface method. Then, conflicts in two objectives are settled with a multi-objective genetic algorithm. According to the optimization results of a given ATEG, the maximum electrical power generated by the ATEG is 139.47 W and the conversion efficiency is 2.51% under steady engine condition. Finally, the performances of the optimized design under different engine conditions are discussed. The results show that the maximum power generated by the ATEG and efficiency respectively increase by 49.8% and 106.5% after optimization when the exhaust inlet temperature is 805 K and the mass flow rate is 0.5 kg/s. |
| first_indexed | 2024-12-13T18:07:04Z |
| format | Article |
| id | doaj.art-d31553f59bd94284a1b55d267b5dcbb3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T18:07:04Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d31553f59bd94284a1b55d267b5dcbb32022-12-21T23:36:03ZengIEEEIEEE Access2169-35362019-01-017721437215710.1109/ACCESS.2019.29196898725574Optimization of Thermoelectric Modules’ Number and Distribution Pattern in an Automotive Exhaust Thermoelectric GeneratorXiaolong Li0Changjun Xie1https://orcid.org/0000-0002-2532-9924Shuhai Quan2Ying Shi3Zebo Tang4School of Automation, Wuhan University of Technology, Wuhan, ChinaSchool of Automation, Wuhan University of Technology, Wuhan, ChinaSchool of Automation, Wuhan University of Technology, Wuhan, ChinaSchool of Automation, Wuhan University of Technology, Wuhan, ChinaDongfeng Motor Corporation Technical Center, Wuhan, ChinaThermoelectric generators are efficient devices to recover energy from the automotive exhaust gas. In this paper, conversion efficiency of automotive thermoelectric generator (ATEG) and the maximum electrical power generated by the ATEG, defining as the power output of the ATEG excluding the energy loss caused to the engine improved by optimizing the number of thermoelectric modules (TEMs) and its distribution pattern in an ATEG. An advanced numerical model of ATEG considering the effect of the heat transfer among the adjacent TEMs' rows is developed with Simulation-X software. In order to acquire the ATEG's optimal electrical performance, a 3-step optimization is applied. First, 17 independent factors (the number of TEMs in each row from 1 to 18) are assessed and the significant parameters are screened using Plackett-Burman design. Second, an experiment designed with a central composite design is performed to analyze the sensitivity of six selected factors and a surrogate model is built through response surface method. Then, conflicts in two objectives are settled with a multi-objective genetic algorithm. According to the optimization results of a given ATEG, the maximum electrical power generated by the ATEG is 139.47 W and the conversion efficiency is 2.51% under steady engine condition. Finally, the performances of the optimized design under different engine conditions are discussed. The results show that the maximum power generated by the ATEG and efficiency respectively increase by 49.8% and 106.5% after optimization when the exhaust inlet temperature is 805 K and the mass flow rate is 0.5 kg/s.https://ieeexplore.ieee.org/document/8725574/Automotive thermoelectric generatormulti-objective genetic algorithmresponse surface methodthermoelectric modules3-step optimization |
| spellingShingle | Xiaolong Li Changjun Xie Shuhai Quan Ying Shi Zebo Tang Optimization of Thermoelectric Modules’ Number and Distribution Pattern in an Automotive Exhaust Thermoelectric Generator IEEE Access Automotive thermoelectric generator multi-objective genetic algorithm response surface method thermoelectric modules 3-step optimization |
| title | Optimization of Thermoelectric Modules’ Number and Distribution Pattern in an Automotive Exhaust Thermoelectric Generator |
| title_full | Optimization of Thermoelectric Modules’ Number and Distribution Pattern in an Automotive Exhaust Thermoelectric Generator |
| title_fullStr | Optimization of Thermoelectric Modules’ Number and Distribution Pattern in an Automotive Exhaust Thermoelectric Generator |
| title_full_unstemmed | Optimization of Thermoelectric Modules’ Number and Distribution Pattern in an Automotive Exhaust Thermoelectric Generator |
| title_short | Optimization of Thermoelectric Modules’ Number and Distribution Pattern in an Automotive Exhaust Thermoelectric Generator |
| title_sort | optimization of thermoelectric modules x2019 number and distribution pattern in an automotive exhaust thermoelectric generator |
| topic | Automotive thermoelectric generator multi-objective genetic algorithm response surface method thermoelectric modules 3-step optimization |
| url | https://ieeexplore.ieee.org/document/8725574/ |
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