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Course Detail

Course Name Battery Management and Charging Systems
Course Code 25EV645
Program M.Tech. Electrical Engineering
Credits 3
Campus Bengaluru, Coimbatore

Syllabus

Syllabus

Batteries – working principle – primary-secondary – performance evaluation – nominal voltage – capacity – C-rate – energy – power – series-parallel – lithium-ion – equivalent circuit – physics based – empirical model – emerging technologies – BMS – functionality – pack topology – voltage sensing – current sensing – temperature sensing – contactor control – isolation sensing – thermal control – protection – communication – range – BMS processors, SoC, SoH and power estimation – model based estimation – Kalman Filter, Machine learning approaches – and power estimation model based estimation – health estimation – aging – cell balancing – imbalance – balancing circuits – cooling – Charging – rechargeable – charging modes – overcharge – undercharge – standards – CHAdeMO – GB/T – ISO-15118 – discharge models – drive cycles – auxiliary loads – onboard charger – offboard charger – OCPP – Case study– battery pack – battery life – energy balancing – multi battery system. Case studies from Mathworks.

Objectives and Outcomes

Pre-requisite: Nil

Course Objective

  • To familiarise with the battery systems and battery management, charging/discharging principles, cell balancing, and parameter estimation.
  • To design and implement battery models for real-time applications in electric and hybrid electric vehicles

Course Outcomes

CO1: Understand the principle of the battery and battery management system.

CO2: Interpret the concept associated with the battery charging/discharging process.

CO3: Familiarize with various cell balancing techniques and parameter estimation.

CO4: Design a battery model for real-time applications.

CO-PO Mapping

PO/PSO

PO1

PO2

PO3

PO4/PSO1

PO5/PSO2

CO

CO1

2

2

CO2

2

3

CO3

2

3

1

CO4

2

1

2

2

1

Text Books / References

  • Pistoia, Gianfranco, and Boryann Liaw, “Behaviour of Lithium-Ion Batteries in Electric Vehicles: Battery Health, Performance, Safety, and Cost”, Springer International Publishing AG, 2018.
  • Plett, Gregory L., “Battery management systems, Volume I: Battery modeling”, Artech House, 2015.
  • Bergveld, H.J., Kruijt, W.S., Notten, P.H.L., “Battery Management Systems -Design by Modelling”, Philips Research Book Series 2002.
  • Davide Andrea,” Battery Management Systems for Large Lithium-ion Battery Packs”, Artech House, 2010.
  • Pop, Valer, et al., “Battery management systems: Accurate state-of-charge indication for battery-powered applications”, Vol. 9, Springer Science & Business Media, 2008.

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