Structure-aware lossless compression for cell-level BESS monitoring data

Liu, Tianle, Lu, Tengjiao, Yang, Changlin, Pan, Peng, Li, Chen and He, Tengjiao 2026. Structure-aware lossless compression for cell-level BESS monitoring data. Batteries 12 (10) , 396. 10.3390/batteries12100396

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Abstract

Large-scale battery energy storage systems (BESSs) continuously generate cell-level monitoring data. These data increase storage demand and communication load in cloud-edge systems. Exact measurement values are required for archival and diagnostic tasks, which motivates lossless compression. This paper releases an industrial cell-level dataset collected from a 215 kWh BESS and analyzes its compression-relevant properties. The data exhibit finite decimal precision, strong temporal dependence, spatial similarity, and different value ranges across measurement variables. Based on these properties, we propose a structure-aware lossless compression method. The method groups the data by measurement variable and reversibly scales the values to integers. It applies temporal and spatial differencing, followed by signed-value remapping, bit-width packing, and final lossless coding. Experiments on AMD and Raspberry Pi platforms evaluate global block-based compression using all 59,452 records and real-time compression. The proposed method achieves compression ratio of 0.779% in the global block-based setting, while its real-time ratio is 1.801%. The real-time configuration requires 0.198 ms per time record on AMD and 1.252 ms on Raspberry Pi.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Engineering
ISSN:	2313-0105
Date of First Compliant Deposit:	14 October 2026
Date of Acceptance:	21 September 2026
Last Modified:	14 Oct 2026 09:15
URI:	https://orca.cardiff.ac.uk/id/eprint/190237

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