Battery used in Evolutionary Algorithm by using Adaptive Current charging controller

Autor: Manoj Hans, Komal B. Deokar, Shital Kawthe
Rok vydání: 2020
Předmět:
Zdroj: 2020 Fourth International Conference on Inventive Systems and Control (ICISC).
DOI: 10.1109/icisc47916.2020.9171094
Popis: In the presented paper charging of battery programmed to scale down charging loss occurred in a Li-ions battery for Electric Vehicle (EVs) has been investigated. This suggested adaptive-current analysis depends on the deviation of internal resistance of the battery is employed for this suggested charging programmed as an objective of the charge rate and (SOC) State of Charge. To locate the issues for searching the ideal current set of suggested schemes, an Evolutionary Algorithm (EA) is a form of problematic access, is enforced. A plan for choosing the number of the ideal charging intervals is also conferred, to obtain a settlement among the computational burden and loss minimization. The prime objective of this proposed strategy is to reduce the charging losses and to enhance efficiency through varying internal resistance of battery as well as by employing PWM switching for converters.
Databáze: OpenAIRE