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

Cell Temperature Sensing

cell temperature limits

Cell temperature sensing is a critical function of any Battery Management System (BMS) this is because the cell temperature needs to be kept within a band to maintain safe operation. This band is narrower still to maintain the lifetime of the cell and hence reduce ageing. Cell Temperature For each cell the manufacturer will define … Read more

Centralised Control Unit

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

Master and Slave

Illustration of general decentralized BMS system structure.

Decentralized BMS Architecture is split into one main controller and multiple slave PCB boards. Consist of several equal units, which provide the entire functionality locally and autonomously. Each of the individual BMS units is able to operate independently of the remaining ones. Communication lines between the units enable information exchange and task coordination between the … Read more

Current Limit Estimation

There are a number of reasons to estimate the charge and discharge current limits of a battery pack in real time: Hence this is a key function of the Battery Management System (BMS). The difficulty is that the current limits are dependent on a number of factors, for the cell alone we should consider the … Read more

Increasing Usable SoC Window

graph of battery pack usable SoC window percentage versus year of production

If you are in a battery design role there is always pressure on increasing usable SoC window. Nobody wants to pay for and carry around unused battery capacity. However, there are some really good reasons to restrict that window. High SoC and hence high cell voltage stresses the cell and significantly reduces the lifetime. Going … 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