Drone Battery Requirements

Google delivery drone by Wing

What is different about the operation of a drone and hence what does this mean in terms of battery requirements? For a drone we are meaning an unmanned drone as used for photography or surveillance. The fundamental parameters are: This post has been built based on the support and sponsorship from: Eatron Technologies, About:Energy, AVANT Future Mobility, Quarto Technical … Read more

Remaining Useful Life

What is Remaining Useful Life (RUL)? Remaining Useful Life (RUL) is a key function declared by the battery management system. As per the title it gives you the remaining predicted lifetime of the battery based on its usage and degradation to the failure threshold [1]. It represents the period from the observation to the end of life … Read more

In the Cloud

Cloud vs Local Battery Management System

Intelligent Battery Management Systems Battery Management Systems (BMS) are crucial for optimizing the operation of batteries by monitoring and controlling key parameters. Through real-time measurements of voltage, current, and temperature, BMSs can predict a battery’s performance, aiding in making informed decisions to enhance its lifespan and charging efficiency. The core functionalities include: These capabilities of … Read more

Centralized BMS

The centralized BMS has embedded all general functions (cell Voltage/Temperature/Series Current sensing, cell balancing… ) in a single control module/board, and was widely applied on smaller battery packs for commercial vehicles. The advantage of centralized architecture is reduced electronic component costs without slave PCBs required. Another advantage is accuracy, as centralized BMS use the same … Read more

Control-Oriented Reduced-Order Models

Control-Oriented Reduced-Order Models for Lithium-Metal Batteries 22nd Advanced Automotive Battery Conference– San Diego, CA – December 5-8, 2022 Authors: Aloisio Kawakita de Souza, Wesley Hileman, M. Scott Trimboli, Gregory L. Plett Department of Electrical and Computer Engineering, University of Colorado Colorado Springs Background Objectives Develop two physics-based control-oriented models of LMBs for the design of … Read more

Empirical Wavelet Transform and Deep-Learning Neural Network

Research poster on Empirical Wavelet Transform and Deep learning

Empirical Wavelet Transform and Deep-Learning Neural Network for State of Health Estimation of Lithium-ion Batteries Authors: Ma’d El-Dalahmeh, Maher Al-Greer, School of Computing Engineering and Digital Technologies, Teesside University, Middlesbrough, UKCentre of Smart Energy and Smart Grid Abstract This work presents a state of health (SOH) estimation of lithium-ion batteries based on advanced signal processing … Read more

Physics-Based Model-Informed Smooth Particle Filter

Process flow - RUL prediction - Research poster on Physics Based Models

Physics-Based Model-informed Smooth Particle Filter based likelihood approximations for remaining useful life prediction of lithium-ion batteries Authors: Mo’ath El-Dalahmeh, Maher Al-Greer, Ma’d El-Dalahmeh, and Imran BashirSchool of Computing Engineering and Digital Technologies, Teesside University, Middlesbrough, UKCentre of Smart Energy and Smart Grid What Is The Research? Methodology Smooth Particle Filter Algorithm The proposed SPF algorithm … Read more