Algorithms for Battery Management Systems Specialization Course Syllabus

Overview: This specialization provides a comprehensive introduction to algorithms used in battery management systems (BMS), covering core concepts such as battery modeling, state estimation, and power management. Learners will gain hands-on experience through simulations using Octave/MATLAB, building practical skills applicable in electric vehicles, renewable energy, and consumer electronics. The program consists of five core courses and a final project, with a total time commitment of approximately 122 hours.

Module 1: Introduction to Battery-Management Systems

Estimated time: 24 hours

• Understand the terminology and functions of lithium-ion battery cells
• Learn the requirements and components of a Battery Management System (BMS)
• Study current, temperature, and isolation measurement techniques
• Explore protection mechanisms and failure modes in battery systems
• Compute stored energy in a battery pack

Module 2: Equivalent Circuit Cell Model Simulation

Estimated time: 27 hours

• Design equivalent-circuit models for lithium-ion battery cells
• Determine model parameter values from lab-test data
• Simulate cell behaviors under different load profiles
• Use Octave/MATLAB for battery model implementation and simulation

Module 3: Battery State-of-Charge (SOC) Estimation

Estimated time: 27 hours

• Implement SOC estimators for lithium-ion battery cells
• Apply algorithms and mathematical analysis for SOC estimation
• Utilize regression and statistical methods in estimation
• Use Octave/MATLAB for algorithm implementation

Module 4: Battery State-of-Health (SOH) Estimation

Estimated time: 22 hours

• Implement SOH estimators for lithium-ion battery cells
• Evaluate different SOH estimation methods
• Analyze capacity and resistance degradation over time
• Use Octave/MATLAB for SOH algorithm development

Module 5: Battery Pack Balancing and Power Estimation

Estimated time: 22 hours

• Design balancing systems for battery packs
• Implement passive balancing methods
• Compute remaining energy and available power
• Use Octave/MATLAB for system simulations

Module 6: Final Project

Estimated time: 20 hours

• Develop a complete battery management algorithm suite
• Integrate SOC and SOH estimation with balancing logic
• Submit simulation results and analysis report

Prerequisites

• Basic knowledge of electrical engineering concepts
• Familiarity with MATLAB or Octave
• Understanding of high school-level mathematics and physics

What You'll Be Able to Do After

• Explain the core functions of a Battery Management System (BMS)
• Design and simulate equivalent-circuit models of lithium-ion batteries
• Implement accurate SOC and SOH estimation algorithms
• Design and evaluate battery pack balancing systems
• Compute remaining energy and available power for battery systems