The background storage and analysis of power battery data provides data support for power battery failure warning, power battery recovery, traceability management, and subsequent value evaluation of power battery. For the requirement of massive data transmission and storage, the paper proposes a compression method for the characteristics of power battery data. In this paper, a variety of compression algorithms are compared and selected; for different data types of power batteries, different operating scenarios are analyzed and researched in various aspects, and corresponding processing methods are given. Finally, after processing and com-pressing the running data, the cost of data transmission and storage is effectively reduced.