Abstract
A process hierarchical optimization with two layers is proposed. According to the ZBT 24007-1989 braking regulation and the braking stability requirement, a regenerative braking stability scope is defined. Based on a braking force analysis of wheels, a model of parallel regenerative braking stability system is built up. For hierarchical optimization, the non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) is adopted in the top optimization layer to maximize the regenerative braking torque and optimize the braking stability. To further improve the recovery energy efficiency, the adaptive simulated annealing algorithm (ASA) is used in the low layer to optimize the regenerative torque distribution coefficient between two motors. According to the optimization results, a control strategy for improving regenerative braking stability is proposed, and an online simulation with the control strategy is carried out, the simulation results show the effectiveness of the proposed control strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 1-7 |
| Number of pages | 7 |
| Journal | Journal of Beijing Institute of Technology (English Edition) |
| Volume | 23 |
| Publication status | Published - 1 Dec 2014 |
Keywords
- NSGA II
- Process hierarchical optimization
- Regenerative braking stability
