IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v231y2018icp887-900.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918314727
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2018.09.162?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Li, Haolong & Chen, Qihong & Zhang, Liyan & Liu, Li & Xiao, Peng, 2023. "Degradation prediction of proton exchange membrane fuel cell based on the multi-inputs Bi-directional long short-term memory," Applied Energy, Elsevier, vol. 344(C).
    3. Yang, Wenlong & Zhu, WenChao & Li, Yang & Zhang, Leiqi & Zhao, Bo & Xie, Changjun & Yan, Yonggao & Huang, Liang, 2022. "Annular thermoelectric generator performance optimization analysis based on concentric annular heat exchanger," Energy, Elsevier, vol. 239(PB).
    4. 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.
    5. 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).
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dong, Peng & Zhao, Junwei & Liu, Xuewu & Wu, Jian & Xu, Xiangyang & Liu, Yanfang & Wang, Shuhan & Guo, Wei, 2022. "Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges, and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    2. Massaguer, E. & Massaguer, A. & Pujol, T. & Comamala, M. & Montoro, L. & Gonzalez, J.R., 2019. "Fuel economy analysis under a WLTP cycle on a mid-size vehicle equipped with a thermoelectric energy recovery system," Energy, Elsevier, vol. 179(C), pages 306-314.
    3. Bizon, Nicu, 2019. "Real-time optimization strategies of Fuel Cell Hybrid Power Systems based on Load-following control: A new strategy, and a comparative study of topologies and fuel economy obtained," Applied Energy, Elsevier, vol. 241(C), pages 444-460.
    4. Bizon, Nicu, 2019. "Efficient fuel economy strategies for the Fuel Cell Hybrid Power Systems under variable renewable/load power profile," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    5. Luo, Ding & Yan, Yuying & Li, Ying & Wang, Ruochen & Cheng, Shan & Yang, Xuelin & Ji, Dongxu, 2023. "A hybrid transient CFD-thermoelectric numerical model for automobile thermoelectric generator systems," Applied Energy, Elsevier, vol. 332(C).
    6. Wu, Yuankai & Tan, Huachun & Peng, Jiankun & Zhang, Hailong & He, Hongwen, 2019. "Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus," Applied Energy, Elsevier, vol. 247(C), pages 454-466.
    7. Haibo Wu & Xingwang Tang & Sichuan Xu & Jiangbin Zhou, 2022. "Research on Energy Saving of PHEV Air Conditioning System Based on Reducing Air Backflow in Underhood," Energies, MDPI, vol. 15(9), pages 1-15, April.
    8. Luo, Ding & Wang, Ruochen & Yu, Wei & Zhou, Weiqi, 2019. "Performance evaluation of a novel thermoelectric module with BiSbTeSe-based material," Applied Energy, Elsevier, vol. 238(C), pages 1299-1311.
    9. 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.
    10. Zhuang, Weichao & Zhang, Xiaowu & Li, Daofei & Wang, Liangmo & Yin, Guodong, 2017. "Mode shift map design and integrated energy management control of a multi-mode hybrid electric vehicle," Applied Energy, Elsevier, vol. 204(C), pages 476-488.
    11. Yingdong He & Nianping Li & Xiang Wang & Meiling He & De He, 2017. "Comfort, Energy Efficiency and Adoption of Personal Cooling Systems in Warm Environments: A Field Experimental Study," IJERPH, MDPI, vol. 14(11), pages 1-26, November.
    12. Zhuang, Weichao & Li (Eben), Shengbo & Zhang, Xiaowu & Kum, Dongsuk & Song, Ziyou & Yin, Guodong & Ju, Fei, 2020. "A survey of powertrain configuration studies on hybrid electric vehicles," Applied Energy, Elsevier, vol. 262(C).
    13. Kristián Čulík & Vladimíra Štefancová & Karol Hrudkay & Ján Morgoš, 2021. "Interior Heating and Its Influence on Electric Bus Consumption," Energies, MDPI, vol. 14(24), pages 1-19, December.
    14. Samir Ezzitouni & Pablo Fernández-Yáñez & Luis Sánchez Rodríguez & Octavio Armas & Javier de las Morenas & Eduard Massaguer & Albert Massaguer, 2021. "Electrical Modelling and Mismatch Effects of Thermoelectric Modules on Performance of a Thermoelectric Generator for Energy Recovery in Diesel Exhaust Systems," Energies, MDPI, vol. 14(11), pages 1-15, May.
    15. Massaguer, A. & Massaguer, E. & Comamala, M. & Pujol, T. & González, J.R. & Cardenas, M.D. & Carbonell, D. & Bueno, A.J., 2018. "A method to assess the fuel economy of automotive thermoelectric generators," Applied Energy, Elsevier, vol. 222(C), pages 42-58.
    16. Ezzitouni, S. & Fernández-Yáñez, P. & Sánchez, L. & Armas, O., 2020. "Global energy balance in a diesel engine with a thermoelectric generator," Applied Energy, Elsevier, vol. 269(C).
    17. Nicu Bizon & Mihai Oproescu, 2018. "Experimental Comparison of Three Real-Time Optimization Strategies Applied to Renewable/FC-Based Hybrid Power Systems Based on Load-Following Control," Energies, MDPI, vol. 11(12), pages 1-32, December.
    18. Xu, Nan & Kong, Yan & Yan, Jinyue & Zhang, Yuanjian & Sui, Yan & Ju, Hao & Liu, Heng & Xu, Zhe, 2022. "Global optimization energy management for multi-energy source vehicles based on “Information layer - Physical layer - Energy layer - Dynamic programming” (IPE-DP)," Applied Energy, Elsevier, vol. 312(C).
    19. Huang, Yanjun & Khajepour, Amir & Bagheri, Farshid & Bahrami, Majid, 2016. "Optimal energy-efficient predictive controllers in automotive air-conditioning/refrigeration systems," Applied Energy, Elsevier, vol. 184(C), pages 605-618.
    20. Li, Bo & Huang, Kuo & Yan, Yuying & Li, Yong & Twaha, Ssennoga & Zhu, Jie, 2017. "Heat transfer enhancement of a modularised thermoelectric power generator for passenger vehicles," Applied Energy, Elsevier, vol. 205(C), pages 868-879.

    More about this item

    Keywords

    CVs; TEG; TECs; EMS; Road test;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:231:y:2018:i:c:p:887-900. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.