Proactive Battery Management

Battery health is a critical factor influencing user experience, device performance, and hardware longevity—especially in mobile and hybrid workforce environments. Undetected battery degradation can result in unexpected device shutdowns, reduced mobility, increased support tickets, and employee downtime, ultimately impacting productivity and customer experience.

The Battery Health Insights provide IT teams with actionable visibility into battery condition, charging behavior, degradation trends, and operational risks across managed devices. These insights enable proactive hardware lifecycle management, help prevent unplanned downtime, reduce device replacement costs, and support sustainability goals by extending device usability.

Battery Replacement Recommendation

The Battery Replacement Recommendation insight proactively identifies devices whose batteries have significantly degraded and are approaching end-of-life. By continuously analyzing multiple battery-related parameters, the insight detects early warning signs of battery failure and automatically recommends replacement actions.

This approach allows IT teams to address battery issues before they disrupt end users, ensuring consistent device performance throughout the hardware lifecycle.

This insight enables IT teams to:

• Proactively detect degraded or failing batteries before they impact users
• Reduce incidents caused by sudden shutdowns, rapid battery drain, and insufficient backup time
• Prioritize devices requiring attention based on health, usage, and risk
• Streamline battery replacement workflows through automated validation, warranty checks, and ITSM ticket creation
• Improve end-user satisfaction by maintaining reliable and predictable device performance

Evaluation Criteria

The Battery Replacement Recommendation is generated based on the following criteria. Thresholds can be configured to align with organizational policies and usage patterns.

• Battery Health (%) - Battery health represents the remaining charge capacity compared to the original design capacity. Values below the threshold indicate significant wear and reduced ability to hold a charge. Recommended threshold - 50%.
• Backup Time (Minutes) - Backup time estimates the expected runtime when operating on battery power. Insufficient backup time can limit mobility and disrupt common use cases such as meetings or field work.
• Cycle Count - Cycle count represents the number of complete charge—discharge cycles completed by the battery. Higher cycle counts indicate aging battery chemistry. Many manufacturers classify batteries as near end-of-life once these limits are reached.Cycle count is displayed only if supported by the device firmware and manufacturer drivers. OEM recommended value - typically between 300 and 500 cycles

Threshold Configuration

Thresholds for above metrics can be customized in Settings > Insights path. Refer Insights documentation for step by step configuration instructions.

Remediation Workflow

The Battery Replacement Extension automates the remediation process for devices identified by the Battery Replacement Recommendation insight.

Using telemetry collected from managed endpoints, Workflow:

1. Identifies devices that require battery replacement
2. Validates device eligibility based on warranty status
3. Prompts the end user for confirmation
4. Automatically creates an ITSM request for battery replacement

This automated workflow reduces manual intervention, accelerates resolution times, and ensures consistent handling of battery replacement cases.

FAQ

Which manufacturers are supported for battery warranty management?

Battery warranty management is currently supported for devices from the following manufacturers: Dell, Lenovo

Why is cycle count not displayed for some devices?

Cycle count data is collected using manufacturer-provided APIs. If a device manufacturer does not support cycle count reporting through these APIs, the metric is not displayed and is not considered in insight evaluation.

How is battery backup time calculated?

The agent collects battery usage metrics every minute and stores this data locally on the device. On a daily schedule, the agent calculates the average battery runtime based on the previous seven days of usage and post details to server.