Cycle performance characteristic

Overview

The Cycle Performance Characteristic tab is located within the Plant Performance page and complements the Loss Bucketing analysis by providing deeper insights into battery cycling behavior. This tab enables BESS operations engineers to understand how batteries perform during charge and discharge cycles, identify optimal operating conditions, and detect performance anomalies that indicates maintenance needs or operational inefficiencies.

By analyzing cycle-level data, you can optimize battery operations, improve battery lifespan, reduce energy losses, and make data-driven decisions that support predictive maintenance strategies.

Accessing the Cycle Performance Characteristic tab

From the Plant Performance page, click the Cycle Performance Characteristic tab. The tab displays alongside the Loss Bucketing tab, with an active state indicated by a blue underline. When you switch between tabs, the system maintains your filter selections and updates visualizations without reloading the page.

Cycle performance visualizations

The tab provides four primary visualizations that help you understand battery cycling behavior:

Voltage vs SOC chart

Displays the relationship between battery voltage and state of charge (SOC) throughout charge and discharge cycles. The chart uses shading to distinguish between charge and discharge phases, making it easy to identify voltage behavior patterns. Hover over data points to view detailed voltage and SOC values at specific moments in the cycle. This visualization helps you understand voltage stability, identify voltage sag or overvoltage conditions, and assess battery health based on voltage response patterns.

Current vs SOC pattern

Shows how current flows vary across different SOC levels during battery operation. This visualization reveals charging and discharging current patterns, helping you identify whether the battery operates within optimal current ranges. Interactive hover tooltips provide precise current values at each SOC level. Use this chart to detect abnormal current patterns that may indicate cell imbalances, thermal issues, or degradation.

Temperature vs SOC trend

Tracks battery temperature changes throughout the charge and discharge cycle. Temperature trends are critical for understanding thermal management effectiveness and identifying potential thermal stress conditions. Hover over the chart to view temperature values at specific SOC levels. This visualization helps you assess whether cooling systems maintain optimal operating temperatures and identify cycles where thermal limits are approached or exceeded.

Efficiency driver analysis

Presents a scatter plot showing the relationship between depth of discharge (DoD) and round-trip efficiency (RTE). Each data point represents a cycle, with bubble size indicating energy throughput for that cycle. This visualization reveals how cycling depth affects efficiency and helps you identify optimal operating ranges. Click data points to filter other visualizations to that specific cycle, enabling detailed investigation of efficiency patterns. Use this analysis to balance energy throughput goals with efficiency optimization and battery longevity.

Cycle data table

Below the visualizations, the cycle data table provides detailed information for each battery cycle, including:

• Cycle start and end dates
• Energy that is charged and discharged
• Round-trip efficiency (RTE)
• Depth of discharge (DoD)
• Cycle duration

The table supports sorting by any column, allowing you to quickly identify cycles with the highest or lowest efficiency, longest duration, or greatest energy throughput. Use the search function to locate specific cycles by date or other attributes. Filter the table to focus on cycles that meet specific criteria, such as efficiency thresholds or DoD ranges.

Export cycle data to CSV or Excel format for further analysis, reporting, or integration with other tools. The export includes all visible columns and respects any active filters, can ensure that you extract exactly the data you need.

Shared filters and KPIs

The Cycle Performance Characteristic tab shares plant and container filters with the Loss Bucketing tab. When you select a plant or container, all visualizations and the data table update automatically to reflect the selected scope. This can ensure consistency across your analysis and eliminates the need to reconfigure filters when you switch between tabs.

Key performance indicators (KPIs) provide quick insights into:

• Total number of cycles in the selected time period
• Total energy throughput (charged and discharged)
• Average round-trip efficiency across all cycles
• Average and maximum operating temperatures

These KPIs update in real-time as you adjust filters, giving you immediate feedback on how filter changes affect overall performance metrics.

Using cycle performance data for operational decisions

The Cycle Performance Characteristic tab supports several operational use cases:

Identifying optimal operating conditions

Use the efficiency driver analysis to determine which DoD ranges provide the best balance between energy throughput and round-trip efficiency. Adjust operational strategies to favor these optimal ranges when possible.

Supporting predictive maintenance

Monitor voltage, current, and temperature patterns over time to detect gradual changes that may indicate degradation or developing issues. Cycles that deviate from normal patterns can trigger maintenance investigations before failures occur.

Improving battery lifespan

Analyze the relationship between cycling depth, temperature, and efficiency to identify operating practices that minimize stress on battery cells. Use these insights to develop operational guidelines that extend battery life.

Reducing energy losses

Identify cycles with lower-than-expected efficiency and investigate the contributing factors that use the voltage, current, and temperature visualizations. Address issues such as thermal management, charge/discharge rates, or SOC operating ranges to improve overall efficiency.