Abstract
To improve the energy performance of powertrain system and heuristic strategy used in fuel cell hybrid buses currently for complex traffic scenarios, we propose a real-time energy management and monitor framework in this work. To be specific, dynamic programming is applied online in the cloud level to find optimal energy management strategy from real-world cycle based on the monitor platform. Furthermore, the experiments and simulation results demonstrate that the proposed framework can improve the economic performance of object vehicles. As the conclusion, the hydrogen consumption is reduced from 2.47kg to 1.97kg compared with the rule-based strategy. For the energy consumption, the online optimization can reduce it to 27.64 kWh, which decreases by 10.28% in the CWTVC. Therefore, compared with traditional strategy on the fuel cell hybrid bus, the real-time energy management and monitor framework has better energy-saving potential.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1558-1562 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350346671 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 6th IEEE International Electrical and Energy Conference, CIEEC 2023 - Hefei, China Duration: 12 May 2023 → 14 May 2023 |
Publication series
| Name | 2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023 |
|---|
Conference
| Conference | 6th IEEE International Electrical and Energy Conference, CIEEC 2023 |
|---|---|
| Country/Territory | China |
| City | Hefei |
| Period | 12/05/23 → 14/05/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Fuel cell hybrid bus
- Online dynamic programming
- Real-time energy management
- cooperative control
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