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Energy management strategy of thermoelectric generation for localized air conditioners in commercial vehicles based on 48 V electrical system

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  • Li, Xiaolong
  • Xie, Changjun
  • Quan, Shuhai
  • Huang, Liang
  • Fang, Wei

Abstract

Automobile exhaust thermoelectric generation technology is an effective way to recover the waste heat from exhaust gas. In order to minimize electricity cost in commercial vehicles (CVs), a hybrid energy system consisting of a thermoelectric generator (TEG), lithium iron phosphate (LiFePO4) battery pack, lead-acid battery pack, and thermoelectric coolers (TECs) is proposed. In addition, an energy management strategy (EMS) based on state machine is developed to satisfy TECs power demand, ensure that the TEG works mostly in the maximum power point tracking (MPPT) mode, and maintain the state of charge (SOC) of the battery within a suitable range under different operating states. The hybrid system model of the CV is constructed with the mathematical model, and then the virtual platform is built to assess the performance of the proposed EMS under the modified Highway Fuel Economy Test (HWFET) driving cycle. A road test is conducted to further verify the reliability of the proposed EMS. The road test results show that the power consumption by TECs is reduced by 45.8% compared with the traditional air conditioner.

Suggested Citation

  • Li, Xiaolong & Xie, Changjun & Quan, Shuhai & Huang, Liang & Fang, Wei, 2018. "Energy management strategy of thermoelectric generation for localized air conditioners in commercial vehicles based on 48 V electrical system," Applied Energy, Elsevier, vol. 231(C), pages 887-900.
    • Handle: RePEc:eee:appene:v:231:y:2018:i:c:p:887-900
    DOI: 10.1016/j.apenergy.2018.09.162
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    1. Huang, K. David & Tzeng, Sheng-Chung & Jeng, Tzer-Ming & Chiang, Wing-Ding, 2006. "Air-conditioning system of an intelligent vehicle-cabin," Applied Energy, Elsevier, vol. 83(6), pages 545-557, June.
    2. Peng, Zhijun & Wang, Tianyou & He, Yongling & Yang, Xiaoyi & Lu, Lipeng, 2013. "Analysis of environmental and economic benefits of integrated Exhaust Energy Recovery (EER) for vehicles," Applied Energy, Elsevier, vol. 105(C), pages 238-243.
    3. Croitoru, Cristiana & Nastase, Ilinca & Bode, Florin & Meslem, Amina & Dogeanu, Angel, 2015. "Thermal comfort models for indoor spaces and vehicles—Current capabilities and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 304-318.
    4. Montecucco, Andrea & Siviter, Jonathan & Knox, Andrew R., 2014. "The effect of temperature mismatch on thermoelectric generators electrically connected in series and parallel," Applied Energy, Elsevier, vol. 123(C), pages 47-54.
    5. Hu, Xiaosong & Murgovski, Nikolce & Johannesson, Lars & Egardt, Bo, 2013. "Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes," Applied Energy, Elsevier, vol. 111(C), pages 1001-1009.
    6. Peng, Jiankun & He, Hongwen & Xiong, Rui, 2017. "Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming," Applied Energy, Elsevier, vol. 185(P2), pages 1633-1643.
    7. Xi, Jiaqi & Li, Mian & Xu, Min, 2014. "Optimal energy management strategy for battery powered electric vehicles," Applied Energy, Elsevier, vol. 134(C), pages 332-341.
    8. Lv, Hao & Wang, Xiao-Dong & Meng, Jing-Hui & Wang, Tian-Hu & Yan, Wei-Mon, 2016. "Enhancement of maximum temperature drop across thermoelectric cooler through two-stage design and transient supercooling effect," Applied Energy, Elsevier, vol. 175(C), pages 285-292.
    9. Wang, Hong & Huang, Yanjun & Khajepour, Amir & Song, Qiang, 2016. "Model predictive control-based energy management strategy for a series hybrid electric tracked vehicle," Applied Energy, Elsevier, vol. 182(C), pages 105-114.
    10. Oh, Myoung Su & Ahn, Jae Hwan & Kim, Dong Woo & Jang, Dong Soo & Kim, Yongchan, 2014. "Thermal comfort and energy saving in a vehicle compartment using a localized air-conditioning system," Applied Energy, Elsevier, vol. 133(C), pages 14-21.
    11. Shabashevich, A. & Richards, N. & Hwang, J. & Erickson, P.A., 2015. "Analysis of powertrain design on effective waste heat recovery from conventional and hybrid electric vehicles," Applied Energy, Elsevier, vol. 157(C), pages 754-761.
    12. Bruni, G. & Cordiner, S. & Mulone, V. & Sinisi, V. & Spagnolo, F., 2016. "Energy management in a domestic microgrid by means of model predictive controllers," Energy, Elsevier, vol. 108(C), pages 119-131.
    13. Massaguer, A. & Massaguer, E. & Comamala, M. & Pujol, T. & Montoro, L. & Cardenas, M.D. & Carbonell, D. & Bueno, A.J., 2017. "Transient behavior under a normalized driving cycle of an automotive thermoelectric generator," Applied Energy, Elsevier, vol. 206(C), pages 1282-1296.
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    2. Zhu, WenChao & Yang, Wenlong & Yang, Yang & Li, Yang & Li, Hao & Shi, Ying & Yan, Yonggao & Xie, Changjun, 2022. "Economic configuration optimization of onboard annual thermoelectric generators under multiple operating conditions," Renewable Energy, Elsevier, vol. 197(C), pages 486-499.
    3. Zhu, WenChao & Weng, Zebin & Li, Yang & Zhang, Leiqi & Zhao, Bo & Xie, Changjun & Shi, Ying & Huang, Liang & Yan, Yonggao, 2022. "Theoretical analysis of shape factor on performance of annular thermoelectric generators under different thermal boundary conditions," Energy, Elsevier, vol. 239(PD).
    4. Wenlong Yang & Wenchao Zhu & Yang Yang & Liang Huang & Ying Shi & Changjun Xie, 2022. "Thermoelectric Performance Evaluation and Optimization in a Concentric Annular Thermoelectric Generator under Different Cooling Methods," Energies, MDPI, vol. 15(6), pages 1-21, March.
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    6. Yang Yang & Wenchao Zhu & Changjun Xie & Ying Shi & Furong Liu & Weibo Li & Zebo Tang, 2020. "A Layered Bidirectional Active Equalization Method for Retired Power Lithium-Ion Batteries for Energy Storage Applications," Energies, MDPI, vol. 13(4), pages 1-15, February.

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    Keywords

    CVs; TEG; TECs; EMS; Road test;
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