TWS Technology, Mobile Power Solutions (TWS MPS), combines proven battery management algorithms with AI and machine learning to deliver more accurate battery state estimation across changing temperatures, dynamic loads, and battery aging.
The AI-enhanced BMS analyzes battery performance, temperature, load, and aging data to provide a clearer view of battery condition and available power — enabling smarter control, safer operation, and better battery utilization.
SOC estimation error target
SOH estimation error target
SOE and SOP error targets
Our AI-enhanced technology improves four key aspects of battery intelligence:
Know how much energy remains with greater accuracy for more reliable battery status and runtime information.
Monitor battery aging and identify early signs of degradation, helping extend battery life and support proactive maintenance.
Estimate available energy and remaining runtime more accurately under changing operating conditions.
Understand the battery's available power in real time, enabling safer and more precise charge and discharge control.
Battery performance changes with temperature, workload, and aging. TWS MPS’s AI-enhanced BMS continuously adapts to these conditions to maintain reliable state estimation throughout the battery’s lifecycle.
for real-time battery status
across changing temperatures and loads
for proactive maintenance
for safer operation
through better battery utilization
AI does not replace the proven protection logic within our BMS.
Instead, it works as an intelligent enhancement layer, improving estimation and prediction while established battery safety algorithms remain the foundation of system protection.
By combining battery expertise, advanced algorithms, and AI, TWS MPS turns real-time battery data into actionable insights — helping customers achieve greater uptime, safer operation, and more efficient battery utilization.
