How to Optimize Battery Life in Aerospace and Defense

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ATE System Power Supply
+ ATE System Power Supply
ATE System Power Supply
+ ATE System Power Supply

Accurate Battery Life Optimization for Mission-Critical Systems

Mission-critical aerospace and defense platforms—including soldier-borne electronics, autonomous sensors, unmanned vehicles, and secure communication systems—depend on batteries that must deliver reliable, long-duration performance under harsh and rapidly changing conditions. Predicting battery life is challenging because degradation mechanisms, such as SEI layer growth, active-material loss, and dendrite formation, evolve at the chemical level and are difficult to observe in real time. Environmental and operational factors, including high-temperature stress, deep-discharge cycles, rapid-charge events, and device-specific configurations, further influence battery lifespan, making consistent measurement and prediction complex and time-intensive.

Purpose-built battery test platforms provide a controlled, repeatable approach to characterizing real-world behavior, enabling engineers to evaluate capacity fade, voltage stability, recovery time, and long-term degradation under diverse mission loads. Automated cycling routines, synchronized high-resolution measurements, and programmable stress profiles deliver reliable insight into state-of-health trends and remaining useful life. By standardizing charge–discharge workflows and replicating operational conditions with precision, battery life optimization tools reduce testing complexity, improve predictive accuracy, and accelerate readiness for demanding aerospace and defense missions.

Battery Life Optimization Solution

Optimizing battery life in aerospace and defense systems requires accurately measuring capacity fade, tracking state-of-health trends, and evaluating performance under authentic mission loads. Keysight’s battery life optimization solution delivers a unified platform for executing precise charge–discharge cycles and real-time performance analysis. The system automates long-duration cycling routines, models operational stress conditions, and captures synchronized voltage, current, temperature, and state-of-charge data for traceable insight. Engineers can quantify degradation, validate predictive models, and assess mission endurance while reducing energy consumption through regenerative operation. This integrated approach streamlines workflows, improves reliability, and accelerates battery validation across aerospace and defense programs.
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