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Explore how passive cell balancing selects balancing current to handle mixed-capacity packs with gross balancing, versus uniform packs using maintenance balancing based on leakage currents.
Explore passive cell balancing calculations, selecting balancing resistors and switching components by analyzing current, voltage drop, and power dissipation to ensure safe, reliable balance across lithium-ion cells.
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Explore hardware circuit design for differential voltage measurement in battery management systems, enabling precise cell voltage readings across multiple cells for electric vehicles.
Explore resistor and capacitor selection in the cell voltage measurement circuit to protect against inrush during hard plug-in and filter high-frequency noise for accurate readings.
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Explore current measurement using a sense resistor with external amplification via an operational amplifier to produce a 0–5 V ADC signal, via a differential sensing topology with the MCP6022.
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Use Coulomb counting to estimate state of charge, noting limitations from current sensor accuracy, losses, self-discharge, and temperature, then compute SOC after four seconds for a 1000-unit battery at 80%.
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Select the microcontroller for a battery management system by mapping communication interfaces (I2C, SPI, UART), channel needs for sensors and ADCs, digital I/O, and industrial grade requirements.
select a microcontroller for automotive battery management system design that meets minimum requirements: six adc channels, i2c and spi communication interfaces, and at least fifteen digital i/o pins.
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Explore the complete electrical cell model for lithium-ion batteries, focusing on the enhanced self-correcting model that combines linear polarization, diffusion voltage, and hysteresis to determine open-circuit and terminal voltages.
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Explore wireless communication between a microcontroller and GSM, Bluetooth, or Wi-Fi modules, and learn UART basics—two-wire, asynchronous, start-data-parity-stop bits, with debugging relevance.
Learn a simple two-device hardware communication using a microcontroller, with zero-ohm jumpers for error prevention and easy debugging.
Live Code Demo
Students will gain a thorough knowledge on design of Battery management system for Electric vehicles.
This course covers:
Design a BMS from scratch
BMS Component selection strategies
SoC estimation algorithms
Passive cell balancing algorithms
Hardware design circuits for each module
Code implementation on STM32 microcontrollers
Voltage-Current-Temperature measurement circuits
Communication protocols like CAN, UART, I2C and SPI are explained with minute details.
Power management for BMS
Cell modelling are also covered up in this course.
Hardware design circuits and code implementation on STM32 microcontrollers are discussed with great detail which will help you to incorporate the designs in your product design directly with minimum modifications
This course has multiple assignments and quizzes which will help the participants to check your understanding about the topics.
This course makes you ready to develop your own BMS. This course also help the graduates to take the first step to their careers in the field of Electric vehicles and specifically Battery Management System.
Electric vehicle is one of the fastest growing field in the world. There are huge job opportunities in this field. This course provides you the knowledge and understanding of all the latest technologies in the field of Electric vehicles.
Lithium ion Battery comprises of about 40% of the overall cost of the Electric vehicles. So, it is very important to have our battery long life, good efficiency and thermally stable. BMS design plays the most important role in making sure that the operating cost of your vehicle is less.
Enroll now to this course. I guarantee you that you will not regret it.
Looking forward to see you on the board.