人工神经网络技术简单直观，是研究锂离子动力电池的有力工具。
Artificial neural networks technique is simple and understandable, it's a powerful tool to estimate Li-ion power batteries.
电动汽车的使用对锂离子动力电池组管理系统提出了更高的要求。
With the use of electrical vehicle, higher and higher requirements for the Li-ion power batteries management system are brought forward.
该研究为锂离子蓄电池特别是锂离子动力电池的设计提供了新的思路。
The study provides new way for designing Liion battery, especially the power battery.
介绍了一种新型锂离子动力电池材料——磷酸铁锂的大规模连续式制备设备。
The article introduces a kind of continuous pattern preparation equipment in large-scale production of LiFePO4, which is a new type of Cathode Material for Lithium-ion-drive Batteries.
为深入了解锂离子动力电池的充放电特性，评价其在电动汽车上的使用性能，通过不同条件下的试验对两种锂离子动力电池进行了全面性能测试。
To study the characteristics of Li-ion battery and evaluate its usability on electric vehicles (EV), detailed examinations about the performance of Li-ion battery are carried out.
钴酸锂由于性能好，而成为当今小型锂离子电池的主角，但世界上钴储量少，作为动力电池材料，市场前景小。
The amount of Co storage in the earth was limited leading to small market potential as power battery cathode material for EVs, although LiCoO_2 had good p.
钴酸锂由于性能好，而成为当今小型锂离子电池的主角，但世界上钴储量少，作为动力电池材料，市场前景小。
The amount of Co storage in the earth was limited leading to small market potential as power battery cathode material for EVs, although LiCoO_2 had good p.
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