A detection system and method integrating charge and discharge operating condition data

Abstract

The present application relates to the technical field of charging and discharging condition detection, and particularly relates to a detection system and method for integrated charging and discharging condition data. The method comprises condition excitation in a charging mode, calculation of a target current according to a battery rated capacity, charging to a battery voltage close to a cutoff voltage at the target current, holding the cutoff voltage, gradual reduction of the current to a termination current, marking a charging time through a voltage threshold in a constant voltage stage, calculation of an electric quantity change amount between the time, dynamic adjustment of the charging and discharging current according to real-time collected battery parameters, data collection in a discharging mode, including a V2G reverse power feedback mode and a PTC heating discharging mode, establishment of a mapping relationship between the electric quantity change amount and SOH, establishment of a battery state space model, fusion of voltage, current and temperature data to estimate battery SOC and SOH, construction of a three-layer BP neural network, training of a model through sample data, and optimization of weights and biases. The technical solution can improve the charging and discharging condition data detection efficiency and accuracy.

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