Research on Grouping of Power Battery Based on Improved Genetic Algorithm
In order to improve the consistency of power battery modules,a grouping technology of power battery was proposed.Firstly,a power battery grouping model was constructed comprehensively considering the group size parameter consistency and electrical parameter consistency,which solved the problem of existing grouping technology of"not considering size parameters","weight distribution subjecting to subjective factors"and"not giving the difference between batteries'characteristic parameters".Be-sides,an improved genetic algorithm based on local search algorithm was proposed to optimize above model in view of the short-comings that the traditional genetic algorithm was easy to fall into local optimum.Then,under the same consistency requirements,the new technology proposed in this paper had been compared with the technology based on the nearest principle and the technolo-gy based on traditional genetic algorithms,which proved that the new technology was the most effective.At the same time,the tech-nology proposed in it could also quantitatively describe the difference in electrical parameters of the modules after grouping,which could provide a basis of the modules'rating for enterprise.
Power BatteryOptimal GroupingLocal Search AlgorithmGenetic Algorithm
万方数据
维普
