Unifying Telemetry in Battery Energy Storage Systems

By Allyson Boate
Mar 19, 2026 Developer

Battery energy storage systems (BESS) play a critical role in modern energy infrastructure. Utilities rely on these systems to balance renewable generation, stabilize grid operations, and respond to changing electricity demand. As deployments scale in size and complexity, operators require continuous insight into battery health, system performance, and grid interaction. Operators rely on telemetry generated across several operational platforms. Battery management systems monitor cell behavior, power conversion systems, and regulate energy flow, while plant control platforms track facility status. Energy management software and environmental sensors provide additional context about facility conditions.

In many deployments, however, this information remains scattered across separate monitoring environments. Operators often move between multiple dashboards to understand activity across a single facility. Many BESS operators are now adopting unified telemetry platforms that consolidate operational signals and create a clearer operational view of system behavior.

The operational reality of modern BESS systems

A battery energy storage facility is not a single system but a collection of specialized subsystems that manage energy storage, power conversion, and grid interaction. Each subsystem monitors a different aspect of facility performance and generates operational signals that help operators understand how the system behaves.

Several platforms produce these signals. Battery Management Systems (BMS) track cell-level conditions such as voltage, temperature, and state of charge to protect battery health. Power Conversion Systems (PCS), typically implemented through inverters, regulate how electricity flows between the battery and the grid.

Plant-level monitoring runs through SCADA platforms, which provide alarms, system status, and operational controls. Energy Management Systems (EMS) determine when energy should be stored or dispatched based on grid signals and market conditions, while environmental sensors monitor external factors such as ambient temperature.

Together, these systems create a continuous operational record of facility performance, but the resulting information does not always exist in a shared environment.

The fragmented reality of BESS telemetry

In most battery energy storage deployments, operational data originates from multiple independent platforms, as described above. This fragmentation reflects the modular design and deployment of energy storage facilities. Battery systems, power conversion equipment, and plant control platforms are frequently delivered by different vendors, each with its own software, data models, and monitoring tools.

Because these platforms monitor individual components rather than the entire facility, data is rarely consolidated automatically. Operators often rely on multiple dashboards to understand activity across a single storage site. Correlating events between subsystems may require switching between tools and manually comparing timestamps or operational signals.

The result? Operators have access to large volumes of operational information but lack a unified view of the facility as a whole. When events occur across multiple subsystems, understanding how those signals relate to one another requires time and effort.

Operational cost of data silos

Even small issues can require significant labor to diagnose. The data silos created by ala carte technologies prevent engineers from seeing how signals across the storage system relate.For example, a thermal anomaly—an unexpected rise in battery temperature—may require operators to review battery readings, compare inverter load behavior, and examine environmental conditions. Without a unified view of these signals, determining the cause can take time.

These delays affect both system reliability and financial performance. If operators cannot quickly determine why system capacity dropped or alarms triggered, dispatch readiness may be affected during critical market windows. Over time, slower investigations and delayed anomaly detection can lead to reduced system availability, higher operational overhead, and missed revenue opportunities.

What unified telemetry actually means

Unified telemetry consolidates operational signals from across the storage system into a shared data environment. Instead of storing data separately within subsystem platforms, telemetry from across the facility enters a common dataset.

In this environment, operational signals are stored as time-series data, or measurements organized by timestamp, allowing signals from different subsystems to be synchronized and analyzed together.

This shared dataset allows engineers to correlate signals that were previously isolated. Battery temperature trends can be examined alongside inverter load behavior, dispatch signals, and environmental conditions to better understand system performance. Instead of switching between monitoring platforms, operators can observe how signals across subsystems evolve together within a unified operational timeline.

How unified telemetry works

In many deployments, telemetry aggregation begins at the edge of the facility. Edge collectors connect to operational systems such as the BMS, PCS, SCADA platform, EMS and environmental sensors using industrial protocols such as Modbus, OPC-UA, or CANbus. These collectors ingest operational signals and convert them into structured telemetry streams.

From there, the data flows through streaming pipelines into centralized platforms. These pipelines handle ingestion, buffering, and transport of high-frequency signals so information from across the facility can be processed as a continuous operational stream.

Time series databases store and index this telemetry by timestamp, allowing engineers to query system behavior over time. Organizing operational signals this way enables teams to correlate events across subsystems, analyze performance trends, and investigate anomalies.

Because signals from different systems exist in the same time-aligned dataset, engineers can examine battery performance, inverter activity, dispatch signals, and environmental conditions together. This enables faster incident investigation and supports advanced analysis such as anomaly detection and predictive maintenance.

Operational impact

Unified telemetry changes how energy storage facilities are operated and how organizations manage risk, reliability, and revenue. When signals from battery systems, power electronics, and plant controls are analyzed together, operators gain a comprehensive view of facility behavior rather than having to reconstruct events across multiple monitoring platforms.

This visibility allows teams to detect anomalies earlier and respond to operational issues before they escalate. Faster diagnosis reduces downtime and helps maintain system availability during critical dispatch windows. In energy markets, maintaining dispatch readiness helps protect revenue during high-value trading periods.

ju:niz Energy Deployment

ju:niz Energy operates large-scale battery storage systems that provide grid services and trading flexibility in energy markets. Their systems collect thousands of data points per second on battery health, temperature, climate conditions, and system performance.

To manage this telemetry, ju:niz built a centralized monitoring architecture using Telegraf, Modbus, MQTT, Grafana, Docker, AWS, and InfluxDB. Operational signals from battery systems stream into a centralized time series platform, giving engineers a unified view of system behavior and eliminating the need for legacy Python monitoring scripts.

This architecture enables the ju:niz team to analyze battery telemetry in real-time, improve alerting accuracy, and support predictive maintenance strategies across their storage infrastructure.To see how ju:niz implemented unified telemetry for its operations, read the full case study or watch the webinar.

The bottom line

Battery energy storage systems generate telemetry across multiple operational platforms, but when that data remains fragmented, operators struggle to understand how the system behaves as a whole. Unified telemetry solves this by bringing operational signals into a shared, time-aligned dataset. As BESS deployments scale, this capability will become foundational for operating energy storage systems reliably, efficiently, and profitably.

Ready to build a unified telemetry architecture? Get started with a free download of InfluxDB 3 Core OSS or a trial of InfluxDB 3 Enterprise.