The practical application shows that the system is characterized by stable operating, fine extension and precise SOC estimation.
实际应用表明，系统运行稳定正常，可扩充性好，对电池组状态预测准确。
By the integration of estimation of SOC combined with power capability, power capability is estimated and the self adjustment mechanism is provided simultaneously.
SOC估计和功率强度估计相结合，实现了在功率强度估计的同时对SOC估计提供自调整机制。
This article dedicated to the research on the design of battery management system and battery state of charge (SOC) estimation.
本文致力于电池管理系统设计及电池荷电状态(SOC)估算的研究。
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.
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。
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