镍氢蓄电池 meaning in Chinese
nickel-hydrogen storage battery
nickel-metal hydride battery
Examples
- Because the service life of nimh battery is limited and the running circumstances of hev are considerably complex , which influences the service life of nimh battery , it is very essential to realize to efficiently manage energy of nimh battery
由于混合动力电动汽车的行驶工况十分复杂，对蓄电池的寿命影响很大，而镍氢蓄电池的使用寿命有限。因此，对混合动力电动汽车的动力电池组进行能量管理，是十分必要的。 - Nickel metal hydride ( mh - ni battery ) becomes the first elect of the storage battery in motor industry , because of the excellent synthetic performance of mh - ni battery , such as high specific energy , long circle life , adapting to big currents discharge and no pollution
镍氢蓄电池以其比能量高、循环寿命长、适合大电流放电、无污染等优异综合性能，成为电动汽车用蓄电池的首选。在欧美各国新研制的电动汽车中，多以镍氢电池为动力源。 - The research achievements and innovations in this paper are as follows : having analyzed the electronic mechanism of the mh / ni batteries during charge and discharge , compared the advantages of mh / ni batteries with other kinds of batteries , the result is mh / ni batteries is the promising power battery for hev due to its advantages such as high power lever and long life
主要研究成果如下：详细分析了镍氢蓄电池的基本工作原理和充放电特性以及影响蓄电池soc ( stateofcharge )剩余容量的主要因素，从多个方面对目前各种动力蓄电池的性能指标及优缺点进行了比较，由比较结果可看出，镍氢蓄电池是较为理想的电动汽车动力源。 - Principle of the reaction of the mh / ni battery , the characteristics and existed problems of different kinds of soc measuring methods are compared , such as use voltage or resistance of the batteries to get the soc , then put forward the way of ann to estimate soc of the batteries in this research
研究了镍氢蓄电池soc的几种预测方法：即通过计算电池在充放电时的累积电量来估计电池的soc的电量累积法：通过计算镍氢电池的内阻来计算电池soc的电阻测量法和通过测量电池的开路电压来估计soc的电压测量法，比较了它们的优缺点，并提出了本文的基于人工神经网络的soc测量方法的思想。 - The artificial neural network ( ann ) method , which can be used to approach non - linear function with many input / output parameters , is originally used to estimate the discharge capacity of mh / ni batteries when changing the discharge current and voltage . the satisfactory result has been obtained from comparison of simulation results
并对镍氢蓄电池soc的预测进行了仿真，结果表明，通过该网络模型可以方便快速的得到电池的soc值，所得结果满足要求，为电池管理系统提供了一种新的电池soc的预测方法。