Week 7 State of charge estimation
2. It is the method that measures discharge current of a battery and with that integrates the deicharge current over time to estimate the SOC.
The major task of BMS is to provide security and longevity of the battery.This can be done through continuos monitoring and control of the battery's SOC and SOH (State of Health).By calculating Sstate fo charge a BMS takes charging and dischrging under control and thus protects the battery from premature capacity loss and prolongs its lifetime.
Kalman Filtering
This method bankes on the measurements and analysis of the batter's input and output data ,such as current, voltage , temperature , internal resitance and other parameter. Based on this data, you can use kalman filtering algorithm to build an electrical model of a battery, simulate its behaviour along with operating conditions, and estimate the state of charge. This method is one of the most high end and precise estimators used by modern battery management systems.To apply this practice you don't need to know the whole histosry of battery charging and discharging.
Kalman filter is one of the most precise SOC estimators used by modern battery management systems.Building an accurate battery model is a key to the reliability of this method.
Passive Cell Balancing
The passive cell balancing technique uses the idea of discharging the cells through a bypass route that is mostly dissipative in nature. It is simple and easier to implement than active balancing techniques as the bypass can either be external or be integrated — keeping the system more cost-effective either way. However, since all the excess energy is dissipated as heat, battery run time is adversely impacted and is less likely to be used during discharge.