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分享人：陈铖 现为北京理工大学AESA课题组博士研究生，主要研究方向为动力电池核心算法及开发应用，博士课题为车载锂离子动力电池多状态协同估计方法研究，参与课题组的纵向课题与企业委托项目多项。(个人网页)
讲座摘要：
本讲座介绍了目前人工智能与大数据技术中部分重要概念的含义、以及当前机器学习算法的分类；重点介绍机器学习算法中最常用的神经网络基本结构、训练算法、及其在电池建模与状态估计上的应用；介绍深度学习的原理、用于图片识别的CNN、及其在电池建模与状态估计上的应用；分析了当前基于神经网络的电池状态估计算法存在的不足与未来的发展方向。 |
相关文献
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