Abstract
This paper designed a fuel cell power system statically to meet the dynamic requirement, with the fuel cell's model and the vehicle model built by GT-Suite. The influence mechanism of different rule-based energy management strategies on the fuel economy was studied. The results revealed that fuel cell worked more efficiently with fuzzy logic control strategy than with power-follower strategy, given an average efficiency increase of 13.27%. Compared with the on/off control strategy, the heat dissipation was reduced by 79.67% with the fuzzy control strategy. Considering the feasibility of real-time implementation, robustness, and low computational burden, the on/off control strategy was optimised by a non-dominated sorting genetic algorithm (NSGA-II), based on ModeFRONTIER (MF). Compared with the original strategy, the fuel consumption was reduced by 17.9%.
| Original language | English |
|---|---|
| Pages (from-to) | 266-292 |
| Number of pages | 27 |
| Journal | International Journal of Powertrains |
| Volume | 10 |
| Issue number | 3 |
| Publication status | Published - 2021 |
Keywords
- Electric vehicle
- Energy balance
- Fuel cell
- Fuzzy logic controller
- Nsga-II
- Optimisation method
- Powertrain
- Rule-based energy management strategy