A High-precision Current Detection Circuit for Battery
This paper proposes a current detection circuit (CDC) for battery management systems (BMS), comprising a high-performance programmable gain amplifier (PGA) and a
This study presents a current sensor fault-detecting method for an electric vehicle battery management system. The proposed current sensor fault detector comprises the nonlinear battery cell model, the Luenberger-type state estimator, and a disturbance observer-based current residual generator.
The above-mentioned model-based battery sensor fault diagnosis methods focus on voltage sensor rather than other sensors, their fault diagnosis model is mainly established with the battery current as the input and the voltage as the output as shown in equation (1) .
Battery current sensors are also used to determine the state of charge in most battery management systems, making them critical for accurate energy management. Zitara Live, for example, uses current sensor data as one of many inputs to determine the battery state of charge.
Xiong et al. establish the dynamic battery ECM with a voltage as an output, the coulomb counting method and the unscented Kalman filter (UKF) algorithm are used to estimate the SOC and detect the sensor fault based on the difference between the estimated capacity of the ratio of accumulated charge to SOC.
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