提出了一种最小二乘支持向量机的电池剩余电量预测新模型。
A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.
电池剩余电量估计系统的研究及使用，是有效地延长电池使用寿命的一个重要手段。
The research and use of SOC system can prolong the life of battery effectively.
该方法技术先进，实验结果表明测试精度高，为蓄电池剩余电量的检测提供了有效的途径。
It shows that this residual capacity indicator is advanced in technology and its accuracy is high. It provides a very efficient approach to measure the residual capacity.
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。
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.
电池剩余电量估计系统不仅能够防止电池过放电或过充，而且对于电动汽车行使过程中起到了汽车汽油表的重要作用。
SOC system can not only avoid the overcharge or overdischarge of battery, but also play as a important role as auto gas instrument.
本文在基于前人的基础上进行了进一步研究，对电池管理系统中的难点问题：动力电池剩余电量的估计，提出了一种新的预测方法。
Based on the achievement of predecessors, a further study on the difficult battery management system was given, proposed a new forecasting method for battery power remaining estimated.
多数大电池供电的产品提供电池电量计来指示电池的剩余电量。
Most battery-powered products attempt to provide a fuel gauge of remaining battery capacity.
多数大电池供电的产品提供电池电量计来指示电池的剩余电量。
Most battery-powered products attempt to provide a fuel gauge of remaining battery capacity.
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