基于约束优化提升并联充电器效率的研究

随着电动汽车成为汽车领域重点发展的方向,电动汽车领域获得了长足的发展,其中也包括并联充电技术的进步。文中针对实际问题设计实验,搭建了实验平台模拟电网输入电能对车载电源的充电过程,并对实验数据进行了分析。文中针对数据特征对单个并联充电器的特性进行测试,并在此基础上提取出模型。根据实际需求设计相应的优化算法,然后将模型扩展至多个并联充电器的组合,依据实际情况增加算法模型的约束条件,整合不同优化算法的优点,运用增广拉格朗日算法、序列二次规划以及混合算法对实验数据进行分析验证。验证结果表明,结合了拉格朗日和序列二次规划的混合算法可以有效地在最高效的基础上对电流进行初次分配。最后用复杂度对所用的约束算法进行评估,综合评价最优算法。

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

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.