Precise state of charge (SOC) of traction battery is a key factor for power distribution of HEV power system, total control of vehicle and cost reduction.
精确的动力电池剩余电量(SOC)是混合动力系统进行动力分配的重要依据，也是整车控制和降低使用成本的关键。
The latest three-phase clock signal control method was used to control the working state of charge pump.
电路采用了预启动和衬底电位选择结构，并利用三相时钟信号方式控制电荷泵的工作状态。
A voltmeter shall indicate the state of charge with a red pilot light to indicate when the high rate charger is in operation.
电压表应指示充电状态，红色信号灯指示高速充电器运行。
Under the partial state of charge (PSOC) condition, the experiments for 100% depth of discharge were carried out by using different charging algorithms.
在部分荷电状态（PSOC）下采用不同的充电模式，进行了100%放电深度的对比试验，同时对失效单体电池进行了容量恢复实验。
For predicting the state of charge (SOC) of lithium-ion rechargeable battery accurately, a method based on electrochemical impedance spectroscopy was presented.
为了准确预测使用过程中的电池荷电状态，提出了电化学阻抗谱预测法。
According to feature of individual battery and equalization method for state of charge (SOC), the number of measuring points is determined.
根据所选用的单体镍氢电池的特点，以及荷电状态SOC均衡方法来确定电池包参数测量点的数量。
Under the condition of given parameter, the two common driving cycles were simulated with the instantaneous optimization strategy based on SOC (state of charge) balance.
在设定参数条件下，以基于电量平衡的瞬时优化策略对两种常见行驶工况进行了整车仿真。
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。
The state-of-charge(SOC) is an important parameter for the electrical vehicle.
电动车电池管理系统的核心任务是对电池荷电状态（SOC）进行预测。
The state-of-charge(SOC) is an important parameter for the electrical vehicle.
电动车电池管理系统的核心任务是对电池荷电状态（SOC）进行预测。
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