Differences between the master and slave controllers of the battery system BMS

What is a master slave BMS?

Purpose of Master, Slave BMS. The main master BMS (or battery controller) controls elements such as battery chargers, contractors and external heating or cooling drivers. Battery state algorithms were programmed to calculate the State of charge, State of health, and power capability.

What is a master-slave battery management system (BMS)?

She excels in IoT devices, new energy MCU, VCU, solar inverter, and BMS. As the new energy market expands increasingly, efficient energy storage solutions have been regarded as the most important sector. The Master-Slave Battery Management System (BMS) is an innovation that seamlessly combines performance, safety, and sustainability.

How does a slave controller module communicate with a BMS?

Slave controller modules receive their energy from the battery ce lls they ar e connected to. This connected modules. The slave and main controller modules communication. T he BMS circuits are isolated fro m each controller module communication output. charging unit. After these operations, the BMS sends the necessary commands to the slave m odule.

How do BMS slaves work?

Six cells (each having a voltage range of 15 V–25.2 V) are connected in series to form a battery module and the BMS Slaves provide the balancing among the cells of the respective module. The BMS Master performs the balancing operation in the battery pack formed by the connection of three battery modules.

How BMS slave balancing a battery?

During the balancing process, BMS Slave#1 achieve the balanced condition for battery module 1 at t = t1, BMS Slave #2 achieve the balanced condition for battery module 2 at t = t2 and the BMS Slave #3 achieve the balanced condition for battery module 3 at t = t3.

Can a battery pack be monitored by a slave board?

In fact, in the case of a battery pack, each cell module is usually monitored by a slave board belonging to a master BMS board . Exploiting FPGA, slave boards could be implemented in the same FPGA platform equipped with multiple monitoring algorithms acting in parallel on each cell, reducing the hardware employed.