ISCAD - Design, Control and Car Integration of a 48 Volt High Performance Drive

Through its new technology the ISCAD system provides up to 300 kW with a safe-to-touch 48 Volt battery.This results in a high-performance drive that is intrinsically electrically safe.The novel machine design requires new concepts for power electronics,control systems,and integration strategies.Further degrees of freedom yield to challenges and even more important to possibilities for all kinds of applications.The innovation of the design will be explained and adjustments for power electronics and control will be worked out.The focus of this paper is the 3rd generation of Intelligent Stator Cage Drive(ISCAD)prototypes.This first integrated and compact prototype has been used to re-equip a Geely Emgrand EV.The entire system and the mentioned process are described in detail.In addition,the in-house designed 48 V battery is highlighted.Simulations and measurements give an overall demonstration of the potential and the current status of the drive.

厄兰极值混合模型的有效估计及其在保险中的应用

本文研究了Erlang混合分布和广义帕累托分布混合模型的估计问题.通过引入iSCAD惩罚函数,利用EM算法极大化iSCAD惩罚似然函数的方法,获得了混合序和参数的估计值,计算出有效的度量风险指标value-at-risk(VaR)和tail-VaR(TVaR),通过模拟实验和实际数据说明了模型和算法的有效性.推广了有限Erlang极值混合模型在保险数据拟合中的应用.

索赔次数的开放式混合泊松分布研究

本文建立了索赔次数的多风险类别混合泊松分布。首先,考虑索赔次数的零膨胀、厚尾性和异质性等特征,建立风险类别待定的开放式混合泊松分布(OMP分布),开放式结构使该分布对实际数据的多样特征和风险类别具有良好的自适应性;其次,定义混合权重参数的iSCAD惩罚函数,实现对权重参数的筛选;最后,借助EM算法求得分布参数,实现对各风险类别下索赔次数的估计。借助iSCAD惩罚函数,本文给出最优混合数,避免传统混合分布中主观选择的弊端,克服传统混合分布中结构复杂、参数估计没有显式表达式、估计结果不便于解释等问题。基于三组风险特征多样数据的实证分析,本文发现OMP分布可以显著改进现有模型的拟合效果。