Electronic Science and Technology ›› 2020, Vol. 33 ›› Issue (8): 53-58.doi: 10.16180/j.cnki.issn1007-7820.2020.08.009

Previous Articles     Next Articles

Research on Improving the Efficiency of Parallel Charger Based on Constraint Optimizations

LU Huan   

  1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 20093,China
  • Received:2019-05-07 Online:2020-08-15 Published:2020-08-24
  • Supported by:
    National Major Science and Technology Projects(UF306258)


As electric vehicles has become a key denelopment direction in the automotive field, the field of electric vehicles has made considerable progress, including the progress of parallel charging technology.For the practical problems, experiments were designed, experimental platform was established to realize the charging process of input power from the grid to the electric vehicles, and experimental data was analyzed. After testing the characteristics of a single parallel charger, a charging model was extracted on this basis. Corresponding optimization algorithms were designed according to the model. The model was extended to the combination of multiple parallel chargers, and the constraints were added according to the actual situation, and the advantages of different optimization algorithms were integrated. The experimental data was verified by augmented Lagrange algorithm, sequential quadratic programming and hybrid algorithm. The analysis and verification showed that the hybrid algorithm which combined Lagrange and sequential quadratic programming methods could effectively distribute the current on the most efficient basis. Finally, the constraint algorithm used was evaluated with complexity, and the optimal algorithm was comprehensively evaluated.

Key words: electric vehicle, parallel charger, model establishment, charging efficiency, optimization algorithms, expense of algorithms

CLC Number: 

  • TP391