Syllabus
Elective Streams Electric and Hybrid Vehicles
Lab content 45 hours
- Introduction to BQ – Studio software and Master Slave BMS
- Accessing register map of BQ79606EVM via BQ –
- Introduction to register configuration of BQ79606
- Configuration of measurement frequency, modes of operation and cell
- Configuration of temperature measurement, communication channel type and
- Configuration of Over_X and Under_X registers or BQ79606
Unit 1
Introduction: Lithium ion cell types, datasheet reading, dimensions, maximum charge and discharge currents, life cycle etc – Lithium ion cell characteristics: Dependence of cycle life, state of charge (SoC) and state of health (SoH) on various parameters – Battery pack design: Electrical, mechanical and thermal considerations.
Unit 2
Battery management system – Introduction – Types: Standalone and master – slave configuration – Functionality: Simple circuits for cell balancing(active and passive balancing), Protection: Cell Undervoltage Protection, Cell Overvoltage Protection, Overcurrent in Charge Protection, Overcurrent in Discharge Protection – High side FETs and Low side FETs, Under temperature in Charge Protection, Under temperature in Discharge Protection, Overtemperature in Charge Protection, Overtemperature in Discharge Protection, Precharge and Predischarge circuits.
Unit 3
SOC and SOH estimation techniques: Open circuit volage tracking, Impedance tracking and Extended Kalman Filter – Commercially available battery monitors and protectors: Analog Devices LTC3300 – X and LT8584 and Renesas ISL94216A – Standards: AIS – 038 and AIS – 156.
Objectives and Outcomes
Course Objectives
- To provide knowledge on lithium-ion cell types, datasheet reading, dimensions, maximum charge/discharge currents, and lifecycle considerations.
- To provide knowledge on battery pack design focusing on electrical, mechanical, and thermal aspects for optimization.
- To familiarize battery management systems, including standalone and master-slave configurations, and their functionalities.
- To make students’ understand state-of-charge (SOC) and state-of-health (SOH) estimation techniques using various methodologies.
Course Outcomes
CO |
CO Description |
CO1 |
Interpret lithium-ion cell datasheets effectively for informed decision-making. |
CO2 |
Design efficient battery packs considering performance and safety requirements. |
CO3 |
Configure and implement robust battery management systems, including cell balancing and protection mechanisms. |
CO4 |
Apply SOC and SOH estimation techniques to evaluate battery health and performance accurately. |
CO-PO Mapping
|
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
CO1 |
3 |
2 |
1 |
|
3 |
CO2 |
2 |
2 |
1 |
1 |
3 |
CO3 |
3 |
2 |
1 |
1 |
3 |
CO4 |
3 |
2 |
1 |
1 |
3 |
Skills acquired
Interpreting lithium-ion cell datasheets and designing efficient battery packs, as well as configuring robust battery management systems and evaluate battery performance.