Portable Machine Tool Battery SoH Estimation Without Full Cycles

The system performs preliminary actions by collecting and storing operational data (current, temperature, voltage, usage patterns) during normal operation, which are later used to calculate SoH without requiring complete charge/discharge cycles. This allows SoH determination to be based on accumulated historical data rather than waiting for full cycles.

An intermediary calculation method is introduced that uses measurable parameters (current, temperature, voltage) and usage patterns as intermediate variables to estimate SoH. Instead of directly measuring SoH through complete cycles, the system uses these intermediate measurements and machine learning models to infer the state of health.

The energy management system performs multiple functions: it monitors current, voltage, temperature, usage patterns, and calculates SoH all within a single integrated system. The same microcontroller and sensors used for basic battery management are also used for advanced SoH estimation, eliminating the need for separate dedicated monitoring systems.

The system uses its own operational data (current, voltage, temperature measurements already being taken for battery management) to self-determine its SoH. No external equipment or additional sensors are required - the battery management system analyzes its own operational history and parameters to assess its health state.

The system implements continuous feedback by monitoring operational parameters (current, temperature, usage patterns) and updating SoH estimates in real-time. This feedback loop allows the system to adapt performance limits dynamically based on actual battery condition rather than using fixed conservative margins, maintaining reliability while maximizing productivity.

The performance limits and operational parameters are made dynamic rather than static. The system adjusts allowable current, power, and usage patterns based on real-time SoH estimates and battery condition, allowing maximum performance when the battery is healthy and automatic derating when degradation is detected, rather than permanently limiting performance with large safety margins.