基于K-means算法的电动汽车驱动功率分配策略  

Electric vehicle drive power allocation strategy based on K-means algorithm

作　　者：马剑[1] MA Jian(Langfang Polytechnic Institute,Langfang Hebei 065000,chin)

机构地区：[1]廊坊职业技术学院,河北廊坊065000

出　　处：《电源技术》2018年第5期713-715,共3页Chinese Journal of Power Sources

摘　　要：分析了电动汽车电源系统与行驶速度、续航能力的关系,建立了相应复合电源工作状态的控制模型,并利用K-me a ns聚类算法对复合电源的功率平衡进行分析,从而形成了汽车驱动功率分配及动态适应度策略。新的分配策略可使电源系统工作在功率最优曲线附近,有效地提高能量利用和功率密度,达到优化汽车续航能力,延长循环寿命的目的。The paper analyzes the relationship between electric vehicle power system, driving speed and battery life. It establishes the corresponding control mode of working status of composite power, and the K-means clustering algorithm is used to analyze power balance of the hybrid power supply,so as to form a driving power allocation and dynamic fitness strategy of the automobile.The new allocation strategy can make the power system work near the power curve. It can effectively improve the energy utilization and power density, optimize the car＇s battery life, and extend the cycle life.

关 键 词：电动汽车 功率分配 K-MEANS算法 数据挖掘 

分 类 号：TM922[电气工程—电力电子与电力传动]