| 1. | Analysis and measurement of soc in the vanadium flow battery
全钒液流电池荷电状态的分析与监测 |
| 2. | Moreover , the vehicle does not need to charge the battery pack from the electricity network for keeping its battery soc at a reasonable level
而且，电池也不需要从电力网络中充电就能使电池的荷电状态保持在一个理想的范围。 |
| 3. | This anfis model combines the neural network adaptive capabilities and the fuzzy qualitative approach such that the soc estimation can be performed in an effective way
自适应模糊推理系统将神经网络的自适应特性和模糊推理结合起来，能够有效的估计电池的荷电状态。 |
| 4. | An adaptive neuro fuzzy inference system modeling approach is employed for the estimation of brc in terms of the state of available capacity of the mh - ni battery powered electric vehicles
把自适应模糊推理系统用于估计蓄电池剩余容量，输入是电池的温度和放电容量，输出是电池的荷电状态。 |
| 5. | A realtime depolarization strategy is put forward that takes polarization voltage and soc as inputs , and the width of depolarization pulse , revised by solution temperature , as output
提出了以蓄电池极化电压和蓄电池的荷电状态为输入变量，以去极化脉冲的宽度作为输出并根据蓄电池电解液温度进行修正的实时去极化策略。 |
| 6. | But the battery management system ( bsm ) of hev is very expensive and its circuit is complex , simultaneously , chemical changes are also complex during discharging and charging of nimh battery , so it is extraordinarily difficult to calculate and estimate an accurate surplus energy and state of charge of nimh batteries . up to now , this technology is still researching and developing
但是电池能量管理系统成本昂贵，电路复杂，而且电池在充放电过程中的化学变化也很复杂，要精确计算和预测电池的荷电状态和剩余能量及寿命是很困难的，到目前为止，这一技术仍在研究发展中。 |
| 7. | The program of delphi can call the dynamic link library ( dll ) which is programmed beforehand . it can on - line estimate and correct soc in time . it can advance the precision of the estimation of brc and the capability of the energy management system , then satisfies the practical need of electric vehicles
并且，在对电池的荷电状态的预测采用了delphi和matlab混合编程的方法，在delphi中调用事先编好的动态连接库( dll ) ，能实时在线的对电池的荷电状态进行估计和校正，提高了电池剩余容量预测的精度，从而提高能量管理系统的性能，满足电动汽车的实用需求。 |
| 8. | Key technology of pv system is checked , especially methods of battery monitoring are explored . three monitoring methods of charging state are presented : the method based on battery on - line voltage monitoring , the method based on battery off - line voltage monitoring and the method based on formulas
对蓄电池的监控技术的关键是蓄电池荷电状态的检测，本文探讨了三种检测方法：一是基于蓄电池在线电压检测蓄电池荷电状态；二是基于蓄电池稳态开路电压检测蓄电池荷电状态；三是公式法。 |
| 9. | Based on the experiment of nimh battery , investigations on characteristics of discharging and charging of nimh battery , and analysis of influencing factor of nimh battery , an approach of ah ? coe ? ocu has been carried out to estimate an accurate surplus energy and state of charge of nimh batteries , and consider the compensation of the temperature , aging and self - discharging etc . after theoretic analysis has been completed , simulations are given to determine parameters of batteries for changan hev
本文在蓄电池试验的基础上，分析和研究ni - mh蓄电池充放电特性及其影响因素，建立了电池内阻、电动势模型，提出了安时?能量守恒?开路电压算法（ ah ? coe ? ocu法）预测蓄电池的剩余能量和荷电状态计算方法，并进行温度、循环使用寿命、自放电等补偿，从而建立了蓄电池的充放电模型。 |
| 10. | Based on a number of charging and discharging experiments , a thought is put forward that the polarization may be detected according to the terminal voltages at charging , terminal voltage at the short pause , and the soc ( state of charge ) ; the depolarization by momentary discharge according to the reference of optimal curve
在论文撰写过程中，作者主要进行了如下方面的研究： -对铅酸蓄电池的电化学机理进行充分研究，并在大量充放电实验的基础上，提出了依据蓄电池充电时和停充瞬间的端电压和蓄电池荷电状态检测蓄电池极化状况的思想。 -依据最佳曲线给定，采取瞬间放电减少极化。 |
