Abstract
With severe environmental pollution pressures growing, research on fuel cell vehicles is increasing. Compared to electric vehicles, fuel cell vehicles do not have the constraints of driving distances. Meanwhile, the emissions of fuel cell vehicles are cleaner than the traditional vehicles. This paper takes a fuel cell bus as the research object. Based on the characteristics of fuel cell vehicles,the Dynamic Programming algorithm is used to calculate the global optimal process for typical urban conditions. The drawback of the global optimal process is that the operating conditions must be known before.As a result, it is not reasonable to use dynamic programming in real driving condition. Therefore, we propose to use an adapted power management method to deal with the actual driving conditions.
| Original language | English |
|---|---|
| Journal | Energy Proceedings |
| Volume | 6 |
| Publication status | Published - 2019 |
| Event | 11th International Conference on Applied Energy, ICAE 2019 - Västerås, Sweden Duration: 12 Aug 2019 → 15 Aug 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
Keywords
- Adapted rule-based method
- Dynamic programing
- Fuel cell vehicle
- Power consumption
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