Power Distribution Strategy for Electric Vehicle Hybrid Power System

DOI

10.2991/icmeit-19.2019.116How to use a DOI?

Keywords

electric vehicles; lithium battery; Super-capacitor; hybrid power system; adaptation; power distribution.

Abstract

Aiming at the load power fluctuates greatly during the driving process of the electric vehicles, a large load current is required, it is difficult to meet the load demand by the lithium battery alone, so the super-capacitor is introduced. In order to give full play to advantages of both, and to reduce the transient high current fluctuation of lithium battery, a power allocation strategy based on adaptive frequency is proposed. The power supply current, super-capacitor and bus voltage are controlled with double closed-loop control, and the filter time constant is dynamically adjusted according to the state of charge and load requirements of the super-capacitor, the battery bears the low-frequency component of the load current, and the super-capacitor provides the residual component, therefore, the charge and discharge current of the battery can be reduced and reducing the large current fluctuation. The Matlab/Simulink the results show that the method fully utilizes the super-capacitor smooth load fluctuation, which effectively reduces the charge and discharge current of the lithium battery and reduces the fluctuation range, thus prolonging the service life.

Copyright

© 2019, 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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TY  - CONF
AU  - Xia Chen
AU  - Xinru Wang
AU  - Jinying Li
AU  - Di Wang
AU  - Yang Gao
PY  - 2019/04
DA  - 2019/04
TI  - Power Distribution Strategy for Electric Vehicle Hybrid Power System
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 727
EP  - 735
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.116
DO  - 10.2991/icmeit-19.2019.116
ID  - Chen2019/04
ER  -