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Battery State-Of-Charge Estimation For Hybrid And Electric Vehicles Using Extended Kalman Filter Techniques

机译:使用扩展卡尔曼滤波技术的混合动力和电动汽车电池充电状态估计

摘要

Adaptive estimation techniques to create a battery state estimator to estimate power capabilities of the battery pack in a vehicle. The estimator adaptively updates circuit model parameters used to calculate the voltage states of the ECM of a battery pack. The adaptive estimation techniques may also be used to calculate a solid-state diffusion voltage effects within the battery pack. The adaptive estimator is used to increase robustness of the calculation to sensor noise, modeling error, and battery pack degradation.
机译:用于创建电池状态估计器的自适应估计技术,以估计车辆中电池组的功率容量。估计器自适应地更新用于计算电池组ECM电压状态的电路模型参数。自适应估计技术还可用于计算电池组内的固态扩散电压效应。自适应估计器用于提高计算对传感器噪声,建模误差和电池组退化的鲁棒性。

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