In order to research on the low-temperature discharge performance of lithium-iron phosphate battery, the type 14500 and type 32650 batteries are selected as the research object, to test their low temperature discharge capacity and ohm internal resistance. The results indicate that the discharge capacity decreases as the temperature decreases, while the ohm internal resistance increases with the decrease of temperature, and the consistency between the battery monomer becomes worse. It is concluded tentatively that the influence of low-temperature on the discharge capacity of different types of batteries is different, the smaller the rated capacity, the smaller the discharge capacity ratio of the battery. The BP neural network model is established to take the normal temperature charging capacity, test temperature and ohm internal resistance as the input, discharge capacity as the output, and the error of the model is less than 8%, for the next step to achieve the battery at low-temperature discharge capacity of the online forecast to provide data support and theoretical basis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.