Name
Title | ||
|---|---|---|
Model-free learning-based online management of hybrid electrical energy storage systems in electric vehicles |
Abstract | ||
|---|---|---|
To improve the cycle efficiency and peak output power density of energy storage systems in electric vehicles (EVs), supercapacitors have been proposed as auxiliary energy storage elements to complement the mainstream Lithium-ion (Li-ion) batteries. The performance of such a hybrid electrical energy storage (HEES) system is highly dependent on the implemented management policy. This paper presents a model-free reinforcement learning-based approach to dynamically manage the current flows from and into the battery and supercapacitor banks under various scenarios (combinations of EV specs and driving patterns). Experimental results demonstrate that the proposed approach achieves up to 25% higher efficiency compared to a Li-ion battery only storage system and outperforms other online HEES system control policies in all test cases. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IECON.2014.7048959 | IECON |
Keywords | Field | DocType |
energy storage,hybrid electric vehicles,secondary cells,supercapacitors,the performance,electric vehicles,hybrid electrical energy storage systems,lithium-ion batteries,model-free learning-based online management,power density,electric vehicle,hybrid energy storage systems,reinforcement learning,traction motors,electric motors | Energy storage,Electric power,Traction motor,Computer data storage,Supercapacitor,Control engineering,Electronic engineering,Control system,Engineering,Battery (electricity),Electric motor | Conference |
ISSN | Citations | PageRank |
1553-572X | 1 | 0.35 |
References | Authors | |
11 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siyu Yue | 1 | 62 | 7.21 |
| Yanzhi Wang | 2 | 1082 | 136.11 |
| Qing Xie | 3 | 287 | 20.06 |
| Di Zhu | 4 | 82 | 7.40 |
| Massoud Pedram | 5 | 7801 | 1211.32 |
| Naehyuck Chang | 6 | 1985 | 185.85 |