My Account | Careers | Downloads | Blog

PROJECT TITLE :

Estimation of the state of charge for a LFP battery using a hybrid

ABSTRACT:

LiFePO4 (LFB) batteries are increasingly being used in portable devices, and a method for precisely determining the battery's state of charge (SOC) is urgently needed. An RBF neural network, an orthogonal least squares (OLS) algorithm, and an adaptive genetic algorithm (AGA) are used in this paper to estimate the SOC in discharging state. The number of nodes in the RBF neural network's hidden layer is determined using the OLS method. When a neural network structure has been found that is ideal for RBF, the AGA is used to modify the parameters of RBF, including RBF centres and RBF width. An RBF neural network trained on an LFP battery's SOC is then utilised to predict the battery's capacity. The proposed estimation method is tested using LFP batteries under a variety of discharge situations to demonstrate its usefulness. The proposed method is compared to the Coulomb integration method and a back propagation (BP) neural network in terms of its effectiveness. According to the results, the proposed method outperforms the other methods on the market today.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Smartphone based Indoor Path Estimation and Localization without Human Intervention ABSTRACT: Many different kinds of indoor positioning systems have been developed as a result of the growing market interest in
PROJECT TITLE : Robust Fuzzy Learning for Partially Overlapping Channels Allocation in UAV Communication Networks ABSTRACT: The emerging cellular-enabled unmanned aerial vehicle (UAV) communication paradigm poses significant challenges
PROJECT TITLE : Prediction of Traffic Flow via Connnected Vehicles ABSTRACT: We propose a framework for short-term traffic flow prediction (STP) so that transportation authorities can take early actions to control flow and prevent
PROJECT TITLE : Passenger Demand Prediction with Cellular Footprints ABSTRACT: An accurate forecast of the demand for passengers across the entire city enables providers of online car-hailing services to more efficiently schedule
PROJECT TITLE : NCF: A Neural Context Fusion Approach to Raw Mobility Annotation ABSTRACT: Improving business intelligence in mobile environments requires a thorough comprehension of human mobility patterns on a point-of-interest

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry