铅酸电池的荷电状态(SOC)的测量和估计，对电动汽车的电池管理系统极为重要。
It was very importance for the battery management system in electric vehicles to measure and estimate the state of charge (SOC) of lead-acid batteries.
然而，荷电状态为不可直接测量的参数，只能通过其它可获取信息对其进行估计。
However, SOC can not be measured directly but estimated from other acquirable information.
现有电池荷电状态(SOC)估计方法所需训练和学习时间较长，很难满足动力电池的实时性要求。
Existing battery State of Charge (SOC) estimation methods are time consuming for the training and learning process, and it restricts the application in electrical vehicles.
现有电池荷电状态(SOC)估计方法所需训练和学习时间较长，很难满足动力电池的实时性要求。
Existing battery State of Charge (SOC) estimation methods are time consuming for the training and learning process, and it restricts the application in electrical vehicles.
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