Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)

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Energy Management of Automobile Exhaust Thermoelectric Hybrid Power Based on Maximum Power Point Tracking and Fuzzy Logic Control

Authors
Rui Quan, Guangyin Liu, Wei Zhou, Liang Huang
Corresponding Author
Rui Quan
Available Online February 2018.
DOI
10.2991/ifmeita-17.2018.44How to use a DOI?
Keywords
Automobile exhaust thermoelectric generator, hybrid power, energy management, maximum power point tracking, fuzzy logic control
Abstract

To enhance the output performance of automobile exhaust thermoelectric hybrid power, all the components such as engine, automobile exhaust thermoelectric generator (AETEG), DC/DC converter and batteries were modelled with ADVISOR, the maximum power point tracking (MPPT) method of AETEG combining perturb & observe (P&O) algorithm, quadratic interpolation and constant voltage tracking method was put forward in the power output process of AETEG, and the energy management was optimized with fuzzy logic control according to the state of charge (SOC) of batteries and external load power requirements. The simulated results demonstrate that the output power of automobile exhaust thermoelectric hybrid power well meets the requirements of external load consumed power during the urban dynamo driving schedule (UDDS), the SOC of batteries remains steady between 0.5 and 0.7, and the maximum exhaust waste heat recovery efficiency of AETEG is about 1.3%, validating the proposed energy management strategy as both feasible and efficient.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2018
ISBN
978-94-6252-464-4
ISSN
2352-5398
DOI
10.2991/ifmeita-17.2018.44How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Rui Quan
AU  - Guangyin Liu
AU  - Wei Zhou
AU  - Liang Huang
PY  - 2018/02
DA  - 2018/02
TI  - Energy Management of Automobile Exhaust Thermoelectric Hybrid Power Based on Maximum Power Point Tracking and Fuzzy Logic Control
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 257
EP  - 262
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.44
DO  - 10.2991/ifmeita-17.2018.44
ID  - Quan2018/02
ER  -