mlsanityData to 7 Oct 2026

Traceable Fault Diagnosis for Battery Energy Storage Systems via Retrieval-Augmented Multi-Agent O&M Assistant

arXiv 2607.01992 ↗First posted 2 Jul 2026cs.AIcited by 0

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Abstract (arXiv)

Large-scale battery energy storage systems (BESSs) require O&M decisions that combine alarms, cell-level measurements, device topology, diagnostic tables, historical cases, and maintenance documents. Monitoring platforms can flag threshold violations, but they often cannot explain whether voltage inconsistency, resistance drift, short-circuit risk, capacity divergence, or thermal abnormality needs intervention. This digest presents a traceable BESS fault-diagnosis assistant that uses retrieval-augmented multi-agent reasoning to connect operational data, domain knowledge, visual evidence, and report generation. Reliability is improved through BESS-specific task routing, schema-constrained natural-language database access, hybrid text-image retrieval, and evidence-based answer synthesis. Preliminary internal evaluation is reported for routing, database access, and diagnostic reasoning.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 14 of its 16 references that are in the map. First posted on arXiv 2 Jul 2026.

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14 of 16 references.

References · 14

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  3. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
  4. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  5. 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,155
  6. 2023DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correctioncited by 465
  7. 2022MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Textcited by 216
  8. 2023RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQLcited by 191
  9. 2024Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field datacited by 3
  10. 2020Li-ion Battery Fault Detection in Large Packs Using Force and Gas Sensorscited by 1
  11. 2024Accuracy and robust early detection of short-circuit faults in single-cell lithium batterycited by 1
  12. 2025BatteryAgent: Synergizing Physics-Informed Interpretation with LLM Reasoning for Intelligent Battery Fault Diagnosiscited by 1
2 more
  1. 2026From inconsistency to decision: explainable operation and maintenance of battery energy storage systemscited by 1
  2. 2026Health feature extraction from battery energy storage system field fault datacited by 1

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