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Explore the vital role of Battery Management Systems (BMS) in ensuring the performance, safety, and longevity of lithium-ion battery packs. This course is designed for engineers, researchers, and technical professionals seeking in-depth knowledge of battery technology and pack management systems.
Comprehensive coverage: Delve into the key functions of BMS for battery packs, including protection, optimization, and monitoring of the state of battery.
Practical insights: Understand critical pack-level parameters such as voltage, current and temperature, and explore advanced topics in thermal management and fault detection for battery packs.
Real-world applications: Discover how BMS technology is applied across electric vehicles, renewable energy storage, and consumer electronics, directly impacting the reliability and efficiency of battery packs.
Expert instruction: Taught by experienced professionals in battery research and engineering, each module combines theoretical insights with practical applications.
Focusing on both foundational concepts and future innovations, this course equips you with the skills to effectively design, manage, and optimize battery pack BMS for cutting-edge energy solutions.
People with basic knowledge of electrical engineering
* Understand the role and importance of BMS
* Identify BMS functions and design challenges
* Classify and understand cell balancing topologies
* Apply models and algorithms for SOC and SOH estimation
* Recognize non-ideal factors in battery management systems
Design thermal management system for battery packs and ensure safe operation temperature of battery cells
Week 1: Introduction to Battery Management Systems (BMS)
Explore the foundational concepts of BMS, understanding their importance, core functions, and design challenges across various battery technologies.
Topics Covered :
Overview of BMS functions and their relevance to battery safety.
Common issues in batteries and how BMS addresses them.
Week 2: State of Charge (SOC) Estimation
Delve into state of charge, focusing on the estimation approaches based on the measurable parameters.
Topics Covered :
Measurable and unmeasurable impactful parameters.
Various SOC estimation methods.
Week 3: Cell Balancing Techniques
Learn about various cell balancing strategies, essential for maintaining high availability of battery capacity and extending the lifespan of battery packs.
Topics Covered :
Classification of cell balancing methods.
Comparison of passive vs. active balancing topologies.
SOC and SOH based balancing concepts.
Week 4: State of Health (SOH) Estimation and Fault Detection
Focus on the techniques for estimating SOH and detecting faults, which are critical for safety, maintenance, residual value estimation, and optimal utilization.
Topics Covered :
Cycle-counting-based aging estimation.
Impedance-based SOH estimation.
Data-driven approaches for SOH estimation
Threshold-based fault detection
Data-driven approaches for fault detection
Week 5: Thermal Management System Design
Understand the influence of temperature on battery performance and explore thermal management strategies.
Topics Covered :
Effects of temperature on battery operation and health.
Design considerations for thermal management systems.
Long-term implications of temperature regulation on battery life.
Week 6: Future of BMS and Emerging Technologies
Conclude with an exploration of the latest advancements in battery management and the ongoing challenges within the field.
Topics Covered :
The limitations and nonidealities in BMS.
BMS innovations.
“Finally, I have gained valuable insights into battery safety and degradation. This knowledge will help me use batteries more wisely and design battery packs more effectively”.