What you will learn in Algorithms for Battery Management Systems Specialization Course
- Battery Management System (BMS) Fundamentals: Understand the major functions provided by a BMS, including state-of-charge (SOC) and state-of-health (SOH) estimation, balancing, and power estimation.
- Mathematical Modeling of Lithium-Ion Batteries: Learn to design equivalent-circuit models for lithium-ion battery cells and simulate their behaviors under different load profiles.
- Algorithm Development: Develop algorithms to estimate SOC, SOH, remaining energy, and available power, and to design cell balancing systems for battery packs.
Program Overview
Introduction to Battery-Management Systems
⏳ 24 hours
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Learn the terminology and functions of lithium-ion battery cells.
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Understand the requirements of a BMS and the components involved.
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Explore current, temperature, and isolation measurement techniques.
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Study protection mechanisms and failure modes.
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Compute stored energy in a battery pack.
Equivalent Circuit Cell Model Simulation
⏳ 27 hours
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Design equivalent-circuit models for lithium-ion battery cells.
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Determine parameter values from lab-test data.
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Simulate cell behaviors under different load profiles.
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Use Octave/MATLAB for simulations.
Battery State-of-Charge (SOC) Estimation
⏳ 27 hours
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Implement SOC estimators for lithium-ion battery cells.
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Apply algorithms and mathematical analysis.
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Utilize regression and statistical methods.
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Use Octave/MATLAB for implementation.
Battery State-of-Health (SOH) Estimation
⏳ 22 hours
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Implement SOH estimators for lithium-ion battery cells.
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Evaluate different estimation methods.
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Analyze capacity and resistance degradation.
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Use Octave/MATLAB for implementation.
Battery Pack Balancing and Power Estimation
⏳ 22 hours
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Design balancing systems for battery packs.
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Compute remaining energy and available power.
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Implement passive balancing methods.
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Use Octave/MATLAB for simulations.
Get certificate
Job Outlook
- Proficiency in battery management systems is valuable for roles such as Battery Systems Engineer, Electrical Engineer, and Energy Storage Specialist.
- Skills acquired in this specialization are applicable across various industries, including electric vehicles, renewable energy, and consumer electronics.
- Completing this specialization can enhance your qualifications for positions that require expertise in battery technology and management systems.
Explore More Learning Paths
Enhance your understanding of algorithms and their applications in battery management and beyond with these related courses and resources. These learning paths are perfect for strengthening your technical expertise and problem-solving skills.
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What Is Python Used For
Discover how Python leverages algorithms in practical applications, from battery management systems to broader data science and engineering projects.
