Abstract
The optimal control of the vehicles with electro-mechanical transmission is a problem of multi-objective optimization. In this paper, based on the working characteristics of the engine, the battery pack and the motor/generators (MGs) as well as their interactions, a multi-objective optimization model with the optimal objective functions which include drivability, electric supply performance and fuel consumption is established. Using the relative membership degree formulas, the multi-objective optimization is transformed to fuzzy multi-objective optimization, and the problem of multi-objective optimization is converted to single-objective optimization with the corresponding weights of the objective functions gained by the minimum average weighted deviation algorithm. The forward model based on Matlab is implemented. Compared with the rule-based method, this method had enabled the drivability, the electric supply performance and the fuel consumption to improve by 29.8%, 38.1% and 11.8%, respectively.
| Original language | English |
|---|---|
| Pages (from-to) | 2409-2414 |
| Number of pages | 6 |
| Journal | Energy Procedia |
| Volume | 105 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 8th International Conference on Applied Energy, ICAE 2016 - Beijing, China Duration: 8 Oct 2016 → 11 Oct 2016 |
Keywords
- electro-mechanical transmission
- fuzzy multi-objective optimization
- minimum average weighted deviation algorithm