Research on Intelligent Autonomous Management Architecture of Spacecraft Power System

Paper number

IAC-18,C3,3,12,x44354

Author

Mr. JianWu Zhao, China, Institute of Telecommunication Satellite, China Academy of Space Technology (CAST)

Coauthor

Mr. Feng Li, China, Institute of Telecommunication Satellite,China Academy of Space Technology

Coauthor

Mr. Jie Xing, China, Institute of Telecommunication Satellite , China Academy of Space Technology

Coauthor

Mr. Jianwei Zhao, China, Shandong Aerospace Electro-technology Institute, China Academy of Space Technology

Coauthor

Mr. Fanglin Yang, China, Shanghai Aerospace Electronic Co.,LTD

Coauthor

Mr. Shuo Jiang, China, Institute of Telecommunication Satellite , China Academy of Space Technology

Coauthor

Mr. Ran Bi, China, Institute of Telecommunication Satellite , China Academy of Space Technology

Coauthor

Mr. Ruolin Zhang, China, China Academy of Space Technology (CAST)

Coauthor

Mr. Yalin Li, China, Institute of Telecommunication Satellite , China Academy of Space Technology

Coauthor

Mr. Lei Yun, China, Institute of Telecommunication Satellite , China Academy of Space Technology

Year

2018

Abstract

In the future application scenario, the spacecraft needs higher power levels, system robustness and autonomous management operation of the power system, and requires the power system to realize the intelligent autonomous management of the power system according to the characteristics of the spacecraft mission and the load characteristics , to ensure the rational allocation of system energy. In this paper, a new spacecraft power system architecture is proposed according to the above requirements. The solar cell array, power control unit, battery, intelligent management unit, cable harness and other components in the system are intelligently and independently managed. Intelligent autonomous management system can achieve the collection of battery cell voltage, battery equalization, battery health status online assessment and life prediction; solar array output power prediction. The system can complete the dynamic balance control of the system according to the load requirements and the dynamic classification management of the load of the whole task stage. At the same time, the system can dynamically manage the charge and discharge of battery according to the energy supply of the spacecraft and ensure the reliable transmission and utilization of energy according to the life estimation of the cable harness and the location of the fault points. The above architecture realizes the intelligent autonomous management of the power system, which can effectively improve the energy utilization ratio and greatly increase the robustness of the spacecraft power system. This paper firstly introduces the components and implementation of power system architecture, and then focuses on the design of the energy flow and the information flow of the system, and simulates and verifies the proposed intelligent autonomous management strategy of system. Finally, this paper forecasts the applicable scenarios and application modes of the above power system architecture, and discusses the follow-up research work.

Abstract document

IAC-18,C3,3,12,x44354.brief.pdf

Manuscript document

IAC-18,C3,3,12,x44354.pdf (🔒 authorized access only).

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