Imperial College London
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ProfessorJulieMcCann

Faculty of Engineering, Department of Computing

Vice-Dean (Research) for the Faculty of Engineering
 
 
 
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Contact

 

+44 (0)20 7594 8375j.mccann Website

 
 
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Assistant

 

Miss Teresa Ng +44 (0)20 7594 8300

 
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Location

 

260ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Wang:2021:10.1109/tie.2021.3130331,
author = {Wang, H and Zhou, G and Xu, J and Liu, Z and Yan, X and Mccann, J},
doi = {10.1109/tie.2021.3130331},
journal = {IEEE Transactions on Industrial Electronics},
pages = {13090--13098},
title = {A simplified historical-infomation-based SOC prediction method for supercapacitors},
url = {http://dx.doi.org/10.1109/tie.2021.3130331},
volume = {69},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Range anxiety has become an important issue for the application of electric vehicles (EVs). Drivers need information on whether they can reach their destinations and what the remaining capacity would be before starting a trip. In order to satisfy the needs and save computing resources for computing-intense applications in vehicles, we propose a simplified historical-information-based State of Charge (SOC) prediction (SHSP) algorithm. First, definitions of SOC, historical average power, and equivalent current are given. Based on these definitions, Rint-based models of supercapacitors, under constant power and constant current loading, are established respectively. Then, a relationship between the historical average power and the predicted SOC is derived with the help of the equivalent current as a bridge. The experimental results demonstrate that the 35-step-forward SOC prediction error of the driving-behavior-based SOC prediction (SHSP) is close to the driving-behavior-based SOC prediction method (DBSP) and lower than Long-Short-Term-Memory-based SOC prediction method (LSTM). Importantly, the time of running SHSP code is less than that of running DBSP code, and much less than that of running LSTM code.
AU  - Wang,H
AU  - Zhou,G
AU  - Xu,J
AU  - Liu,Z
AU  - Yan,X
AU  - Mccann,J
DO  - 10.1109/tie.2021.3130331
EP  - 13098
PY  - 2021///
SN  - 0278-0046
SP  - 13090
TI  - A simplified historical-infomation-based SOC prediction method for supercapacitors
T2  - IEEE Transactions on Industrial Electronics
UR  - http://dx.doi.org/10.1109/tie.2021.3130331
UR  - https://ieeexplore.ieee.org/document/9633246
UR  - http://hdl.handle.net/10044/1/94623
VL  - 69
ER  -
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