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车载综合电力系统动态重构及其功率流控制 被引量:2

Dynamic Reconfiguration and Its Power Flow Control of Vehicular Integrated Power System
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摘要 随着陆战平台全电化技术的加速发展,战斗平台大功率用电负载不断增加,电能需求急剧上升,且不同负载驱动特性迥异,对车载综合电力系统的供电性能与负载适应性提出了苛刻要求。针对上述问题,探讨了一种车载综合电力系统动态重构方法,利用系统内部各装置、部件组合重构,构建出适应不同应用环境的多种工作模式;在此基础上,设计了工作模式层次化状态集,提出了基于有限状态机的工作模式转换与功率流动态控制方法,将其应用于工程实践。装车试验结果表明:系统模式转换灵活,冗余度高,动态重构能力强,负载适应性好,可为高适应性车载综合电力系统研究提供参考。 With the accelerated development of all-electric technology of ground combat platforms,the high-power loads of combat platform increase continuously,and the demand for electric energy rises sharply. Moreover,the driving characteristics of different loads are various,which puts forward strict requirements on the power supply capacity and load adaptability of vehicular integrated power system. Aiming at the above problems,the dynamic reconfiguration method of vehicular integrated power system is proposed in this paper,which utilizes the reconstruction of various devices and components in the system to construct multiple working modes adapted to different application environments. On this basis,the hierarchical state set of the working modes is designed. Also,the method of working mode transformation and power flow dynamic control based on the finite-state machine is proposed,and finally it is applied to engineering practice. The test results on the vehicle show that the system has flexible mode transformation,high redundancy,strong dynamic reconfiguration ability and good load adaptability,which can provide a reference for the study of highly adaptable vehicular integrated power system.
作者 袁东 廖自力 李年裕 王刚 YUAN Dong;LIAO Zi-li;LI Nian-yu;WANG Gang(Department of Weapons and Control,Army Academy of Armored Forces,Beijing 100072,China;Military Exercise and Training Center,Army Academy of Armored Forces,Beijing 100072,China)
出处 《火力与指挥控制》 CSCD 北大核心 2019年第8期82-88,共7页 Fire Control & Command Control
基金 国防“十二五”预研基金(40402050101) 军队重点科研基金资助项目(2015ZB17)
关键词 车载综合电力系统 动态重构 功率流 有限状态机 vehicular integrated power system dynamic reconfiguration power flow finite-state machine
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