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Thermoelectric-Generator-Based DC–DC Conversion Networks for Automotive Applications

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Maximizing electrical energy generation through waste heat recovery is one of the modern research questions within automotive applications of thermoelectric (TE) technologies. This paper proposes a novel concept of distributed multisection multilevel DC–DC conversion networks based on thermoelectric generators (TEGs) for automotive applications. The concept incorporates a bottom-up design approach to collect, convert, and manage vehicle waste heat efficiently. Several state-of-the-art thermoelectric materials are analyzed for the purpose of power generation at each waste heat harvesting location on a vehicle. Optimal materials and TE couple configurations are suggested. Moreover, a comparison of prevailing DC–DC conversion techniques was made with respect to applications at each conversion level within the network. Furthermore, higher-level design considerations are discussed according to system specifications. Finally, a case study is performed to compare the performance of the proposed network and a traditional single-stage system. The results show that the proposed network enhances the system conversion efficiency by up to 400%.

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Abbreviations

M :

Number of parallel TEG modules at each conversion section

N :

Number of serially connected TE couples within each TEG module

V oc :

TE couple open-circuit voltage

V in :

Voltage level at the input of a low-level DC–DC converter

R in :

Input resistance of a low-level DC–DC converter

r in :

Internal resistance of a TEG module

η d :

Delivery efficiency between a TEG module and a low-level DC–DC converter

η couple :

Conversion efficiency of a single TE couple

η DC–DC(low) :

Conversion efficiency of a low-level DC–DC converter

η DC–DC(mid) :

Conversion efficiency of a mid-level DC–DC converter

η DC–DC(high) :

Conversion efficiency of a high-level DC–DC converter

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Correspondence to Molan Li.

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Li, M., Xu, S., Chen, Q. et al. Thermoelectric-Generator-Based DC–DC Conversion Networks for Automotive Applications. J. Electron. Mater. 40, 1136–1143 (2011). https://doi.org/10.1007/s11664-011-1557-5

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  • DOI: https://doi.org/10.1007/s11664-011-1557-5

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