Abstract
The high-frequency power management is an essential issue for off-road hybrid electric vehicles (HEVs). On rough terrains, the driving power of HEV changes rapidly. It's hard for the diesel generator set to supply all of the driving power. Therefore, the total power consumption is divided into high-frequency power and low-frequency power by a first-order filter. And then most of the high-frequency power is provided by ultra-capacitor (UC) and battery. By combining reinforcement learning (RL) algorithm, the active power filter is adaptive and attempts to save fuel and prolong battery life. Finally, analysis and simulation results show that the ultra-capacitor pack absorbs lots of high-frequency power and plays an important role in accelerating the response of power supply.
| Original language | English |
|---|---|
| Title of host publication | IET Conference Proceedings |
| Publisher | Institution of Engineering and Technology |
| Pages | 53-58 |
| Number of pages | 6 |
| Volume | 2020 |
| Edition | 3 |
| ISBN (Electronic) | 9781839534195 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 2020 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2020 - Virtual, Online Duration: 18 Sept 2020 → 21 Sept 2020 |
Conference
| Conference | 2020 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2020 |
|---|---|
| City | Virtual, Online |
| Period | 18/09/20 → 21/09/20 |
Keywords
- HYBRID ELECTRIC VEHICLE
- HYBRID ENERGY STORAGE SYSTEM
- POWER MANAGEMENT
- REINFORCEMENT LEARNING