坦克装甲车辆电力系统源网荷储协同优化与安全控制:架构设计及前沿思考

doi:10.12382/bgxb.2023.0643

摘要/Abstract

摘要：

为保障坦克装甲车辆电力系统在复杂环境中的安全可靠、优质高效运行,发展以主动弹性、协调优化、灵活互动为主要特征的车载电力系统是未来一代全电战车的重要发展方向。聚焦于以全电化为特征的坦克装甲车辆电力系统源网荷储协同优化与安全控制研究。从内在要求和外在驱动2方面阐述发展坦克装甲车辆电力系统的必要性和挑战;从架构设计的角度介绍车辆电力系统源网荷储协同优化与安全控制的核心内容及关键技术,包括极端环境下的主动弹性安全控制技术、正常环境下的多时间尺度优化调度技术以及大扰动源场景下的灵活动态调控技术。继而结合弹性电力系统的内涵,探讨基于弹性优化控制的坦克装甲车辆电力系统在面对极端或突发事件时的性能特点。为未来我国坦克装甲车辆电力系统的发展提供参考。

关键词: 坦克装甲车辆, 车载电力系统, 源网荷储资源, 协同优化, 安全控制

Abstract:

In order to ensure the safety, reliability, high-quality, and efficient operation of tank and armored vehicle power systems in complex environments, the development of on-board power systems characterized by active flexibility, collaborative optimization, and flexible interaction is an important direction for the future generation of fully electric combat vehicles. The source-grid-load-storage collaborative optimization and safety control of tank and armored vehicle power systems with electrification as a characteristic are studied. The necessity and challenges of developing the power systems are elaborated from the aspects of inherent conditions and external driving forces. Then, the core content and key technologies of source-grid-load-storage collaborative optimization and safety control for power systems are introduced from the perspective of architectural design. This includes the active flexible safety control technology used in extreme environments, the multi-timescale optimization and scheduling technology used in normal environments, as well as the flexible dynamic control technology used in scenarios with significant disturbances. Furthermore, in conjunction with the concept of a “resilience” power system, the performance characteristics of power systems based on “resilience” optimization and control when facing extreme or unexpected events are discussed, which can provide a reference for the future development of tank and armored vehicle power systems in China.

Key words: tank, armored vehicle, vehicular electric power system, source-grid-load-storage resource, collaborative optimization, security control

中图分类号:

TJ812

岳文斌, 宁功韬, 倪永亮, 宋克岭, 黄煜, 王志远, 李艳明. 坦克装甲车辆电力系统源网荷储协同优化与安全控制:架构设计及前沿思考[J]. 兵工学报, 2024, 45(8): 2463-2477.

YUE Wenbin, NING Gongtao, NI Yongliang, SONG Keling, HUANG Yu, WANG Zhiyuan, LI Yanming. Collaborative Optimization and Security Control of Source-grid-load-storage of Tank and Armored Vehicle Power System: Architecture Design and Frontier Thinking[J]. Acta Armamentarii, 2024, 45(8): 2463-2477.

图/表 7

图1 坦克装甲车辆电力系统源网荷储协同优化与安全控制架构

Fig.1 Collaborative optimization and safety control architecture of source-grid-load-storage for Tank and armored vehicle power system

图2 技术路线图

Fig.2 Technology roadmap

图3 坦克装甲车辆EMS仿真示意图

Fig.3 Simulation diagram of tank and armored vehicle EMS optimization

图4 坦克装甲车辆直流微网系统仿真示意图

Fig.4 Simulation diagram of DC microgrid for tank and armored vehicle

图5 多时间尺度递阶的协同优化技术

Fig.5 Multi-time scale hierarchical collaborative optimization

图6 弹性优化控制应对极端场景的基本过程

Fig.6 Response of resilient control to extreme events

图7 极端事件发生前后车辆电力系统弹性优化控制状态示意图

Fig.7 Resilient control states of vehicular electric power system before and after an extreme event optimization

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