Enhancing Lithium-Ion Battery Management with Advanced Kalman Filter Tuning

Advanced Kalman Filter Tuning comparison of errors

Enhancing Lithium-Ion Battery Management with Advanced Kalman Filter Tuning summarises the work conducted by Jasper Knox, Mark Blyth and Alastair Hales (all University of Bristol). Lithium-ion batteries are integral to modern electric vehicle development, requiring advanced battery management systems (BMS) for effective battery pack operation. A critical task for these systems is accurately estimating state … Read more

Cell-to-Cell Variation and Deterministic Pack Effects

BrillPower cell to cell variation

How Random Cell-to-Cell Variation and Deterministic Pack Effects Determine Pack Capacities was a poster presented by Brill Power at the Oxford Battery Modelling Symposium 2024. This looked at how thermal gradient impacts battery cell degradation and consequently battery pack capacity. Written by: Jorn Reniers, Martin Rogall and Adrien Bizeray, Brill Power, Oxford, UK 1. Cell-to-cell … Read more

Kalman Filter

This content aims to deliver a simple example of the use of the Kalman Filter without mentioning complex mathematics, further linking to the battery state estimation problems. Imagine that we are pilots in a manual aircraft flying in a one-dimension direction, delivering a box of medicines to a tiny island in the middle of the … Read more

Sources of Error with the Coulomb Counting Method

SoC definition for Samsung SDI 94Ah cell

It is really important to understand the sources of error with the coulomb counting method as this forms the backbone for most SOC estimation algorithms. SoC Estimation by Coulomb Counting is based on the measurement of the current and integration of that current over time. There are five main sources of error with the coulomb … Read more

Thermocouple vs Thermistor


Looking at the thermocouple vs thermistor for temperature sensing in the world of battery design. Cell temperature is a critical parameter. Although you might not be able to measure every cell, you need to measure a few in order that you can estimate the maximum and minimum. Thermocouple A thermocouple functions based on the Seebeck … 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

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