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
Learn the terminology and functions of lithium-ion battery cells.
Understand the requirements of a BMS and the components involved.
Explore current, temperature, and isolation measurement techniques.
Study protection mechanisms and failure modes.
Compute stored energy in a battery pack.
Equivalent Circuit Cell Model Simulation
⏳ 27 hours
Design equivalent-circuit models for lithium-ion battery cells.
Determine parameter values from lab-test data.
Simulate cell behaviors under different load profiles.
Use Octave/MATLAB for simulations.
Battery State-of-Charge (SOC) Estimation
⏳ 27 hours
Implement SOC estimators for lithium-ion battery cells.
Apply algorithms and mathematical analysis.
Utilize regression and statistical methods.
Use Octave/MATLAB for implementation.
Battery State-of-Health (SOH) Estimation
⏳ 22 hours
Implement SOH estimators for lithium-ion battery cells.
Evaluate different estimation methods.
Analyze capacity and resistance degradation.
Use Octave/MATLAB for implementation.
Battery Pack Balancing and Power Estimation
⏳ 22 hours
Design balancing systems for battery packs.
Compute remaining energy and available power.
Implement passive balancing methods.
Use Octave/MATLAB for simulations.
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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.
Specification: Algorithms for Battery Management Systems Specialization
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FAQs
- The course assumes basic understanding of electrical circuits and battery fundamentals.
- Beginners can benefit with supplemental reading on battery chemistry and circuit basics.
- Familiarity with embedded systems or programming is helpful but not mandatory.
- Exercises and examples are structured to guide learners step-by-step.
- MATLAB and Simulink are commonly used for modeling and simulations.
- Basic knowledge of Python or C programming can help but is not strictly required.
- Starter scripts and templates are often provided to simplify implementation.
- Hands-on practice with simulations enhances understanding of algorithm behavior.
- Teaches core algorithms for battery monitoring, state-of-charge estimation, and protection.
- Knowledge can be applied to electric vehicles, renewable energy storage, or industrial batteries.
- Real-world implementation may require additional hardware and testing experience.
- Simulations provided in the course prepare learners for practical experimentation.
- Covers linear algebra, differential equations, and control theory at an applied level.
- Focus is on using formulas for modeling and algorithms rather than theoretical proofs.
- Prior exposure to basic calculus and matrix operations is helpful.
- Exercises emphasize practical computation and simulation of battery models.
- Demonstrates expertise in battery monitoring and management strategies.
- Enhances employability in electric vehicle, renewable energy, and battery technology roles.
- Portfolio projects and simulations can be showcased to employers.
- Hands-on experience with real hardware can further strengthen career prospects.