基于MOPSO算法的商用车气制动系统优化  

Optimization of Pneumatic Brake System for Commercial Vehicles Based on MOPSO Algorithm

作　　者：郭冬妮 李孟华 阎阔 李法兵 郑鑫 张军 GUO Dongni;LI Menghua;YAN Kuo;LI Fabing;ZHENG Xin;ZHANG Jun(FAW Jiefang Group Co.,Ltd.,Changchun Jilin 130011,China;The Second Military Representative Office of the Military Representative Bureau of the Army Equipment Department in Shenyang in Changchun,Changchun Jilin 130011,China;Thyssenkrupp Presta FAWER Changchun Co.,Ltd.,Changchun Jilin 130011,China)

机构地区：[1]一汽解放集团股份有限公司,吉林长春130011 [2]陆军装备部驻沈阳地区军事代表局驻长春地区第二军事代表室,吉林长春130011 [3]蒂森克虏伯富奥汽车转向柱(长春)有限公司,吉林长春130011

出　　处：《汽车零部件》2022年第7期49-52,共4页Automobile Parts

摘　　要：目前行业上对商用车气制动系统的优化一般只针对性能提升单方面的研究,缺少统筹兼顾制动性能及经济性的多目标优化方案。通过采用多目标粒子群方法,利用MATLAB-AMESim联合仿真平台对制动系统的响应时间及成本进行了双目标优化,最终提出了一种综合性能与成本的制动系统优化方案。该优化方案在系统成本降低14%的同时,响应时间加快了14.5%,为产品研发及市场问题的解决提供了技术支撑。At present,the optimization of pneumatic brake system for commercial vehicles in the industry generally only focuses on the performance improvement,and there is a lack of multi-objective optimization scheme that takes into account the braking performance and economy.The response time and cost of the braking system were optimized by using the multi-objective particle swarm optimization method and the MATLAB-AMESim joint simulation platform.An optimization scheme of braking system with comprehensive performance and cost was proposed.The optimization scheme reduces the system cost by 14%,and accelerates the response time by 14.5%,which provides technical support for product research and development and the solution of market problems.

关 键 词：商用车 气制动系统 多目标粒子群优化 

分 类 号：U463.5[机械工程—车辆工程]