适用于AGM、EFB、FB蓄电池的充电工艺的设计与研究  被引量:1

Design and Research of Charging Processes of AGM,EFB,FB Battery

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作  者:易琨[1] 唐路[1] 程娟[1] 严康 胡承建 YI Kun;TANG Lu;CHENG Juan;YAN Kang;HU Chengjian(R&D Center, Dongfeng Peugeot Citroen Automobile Co., Ltd, Wuhan 430056, China)

机构地区:[1]神龙汽车有限公司技术中心

出  处:《重庆理工大学学报(自然科学)》2019年第9期86-94,共9页Journal of Chongqing University of Technology:Natural Science

摘  要:为了解决售后市场为具有怠速启停功能的蓄电池同时配备2到3种专用充电设备导致维修成本偏高的矛盾,以多阶段模糊自适应PID控制全智能充电技术为基础,设计了一套适合AGM、EFB、FB蓄电池的专用充电工艺,并将这套充电工艺集成在一台全智能微机控制的充电设备里,实现了维修成本的节约,并通过试验验证了这套专用充电工艺的有效性。实践表明:该套充电技术方案适用于国内大多数常用12 V汽车起动用铅酸蓄电池(适用的蓄电池额定容量区间50~100 A·h),具有容量恢复率高的特点(AGM、EFB蓄电池容量恢复率达93%以上,FB蓄电池容量恢复率达88%以上),也能避免充电过程中热失控、极化、层化现象的发生,对于大部分蓄电池故障模式也能识别判断(短路、热失控、老化寿命终止等故障)。The 2 or 3 kinds of special charging equipment were equipped for the battery with the idle start stop function at the aftersales market,which led to the high cost of maintenance. In order to solve this contradiction,a set of special charging processes which were suitable for AGM,EFB,of FB battery have been designed,based on multi-stage and full-intelligent charging technology controlled by fuzzy adaptive Algorithm of PID and were integrated in a intelligent charging device controlled by the micro-computer chip,and it realized the maintenance cost saving;and the validity of this special charging processes is verified by experiment. Practice shows that the technology scheme of this special charging processes are suitable for most of the domestic-commonly used 12 V automobile starter leadacid battery( applicable quota capacity range: 50 ~ 100 Ah),it has the characteristics of high percentage of capacity recovery( percentage of capacity recovery of AGM,EFB battery reaches above93%,percentage of capacity recovery of FB battery exceeds over 88% or more),can also avoid phenomena of thermal runaway,polarization and electrolyte stratification during the charging process,can also identify most of the battery failure mode( short circuit, thermal runaway, aging life termination,etc.).

关 键 词:AGM EFB FB 充电工艺 模糊自适应PID控制算法 

分 类 号:TM912.1[电气工程—电力电子与电力传动] U463.633[机械工程—车辆工程]

 

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