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Ultra Accuracy SOXs Solutions

Next-Generation Battery Intelligence for Mobility, ESS, and Industrial Applications

Ultra Accuracy SoC – High-Precision State of Charge Estimation 


Ultra Accuracy SoC
  • Algorithm Architecture
    Coulomb Counting (2.5%–9%)
  • Lightweight and fast but affected by sensor drift; used as baseline tracking. Curve Fitting + Kalman Filter (<2.5%)
  • Voltage modeling + Kalman correction significantly improves noise immunity, aging adaptation, and dynamic accuracy.
    AI Deep Learning (<1.5%, Next-Gen)

Immersion-cooled battery packs maintain 10–15% lower overall temperature compared with traditional non-immersion packs during high-rate discharge. Across a 60A discharge test, immersed cells consistently operated 5°C–8°C cooler, greatly reducing thermal stress and extending battery life.

Core Functions

  • Accurate range prediction
  • Safe low-SoC protection
  • Accurate range prediction
  • Safe low-SoC protection

Ultra Accuracy SOH – Advanced Battery Health Estimation 


TWS provides three independent SOH algorithms for robust long-term health evaluation:

Ultra Accuracy SOH
  • Physical Model Based SOH
    SOH=C_current/C_rated ×100%
    Simple but limited by full-cycle data and current sensor accuracy.
  • Filter-Based SOH (Kalman Resistance Model)
    SOH=(R_E-R_C)/(R_E-R_N )
    Accurate real-time internal resistance tracking but temperature-sensitive.
  • Machine Learning SOH (LSTM)
    AI-driven pattern analysis delivers highly reliable SOH prediction under 
varying loads, temperatures, and aging conditions.

Value

  • Longer battery life planning
  • Health trend visualization
  • Predictive maintenance

Ultra Accuracy SOE –Precise Energy Estimation

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SOE is calculated using real-time energy = V × I × T, combined with Kalman filtering.

Benefits

  • Accurate remaining running time estimation
  • Real-time load energy analysis
  • Visual energy trend curves for system optimization

SOE provides direct actionable information for users—unlike SoC—which improves practical decision-making.

Ultra Accuracy SOP – Smart Power Prediction 
& Load Management 


SOP estimates the instant available power without exceeding safe voltage or temperature limits.

Ultra Accuracy SOP

Benefits

  • Instant peak power prediction
  • Real-time derating logic for system safety
  • Visual temperature/load/SOP curves for transparent monitoring

Value

  • Extends battery life
  • Prevents over-current or thermal damage
  • Ensures stable operation in high-power applications

Real-World Application – TWS eBike SoXs Prototype

TWS has successfully deployed an Ultra Accuracy SoXs system in a real eBike platform, featuring:

  • Real-time SOH / SOE / SOP visualization
  • Voltage & temperature monitoring
  • Remote diagnostics & OTA update support
  • Accurate energy/range prediction under fluctuating load

This demonstrates the readiness of our SoX system for mass-market mobility applications.

Real-World Application

TWS Ultra Accuracy – Key Technical Highlights

Accurate battery insight directly impacts
performance, safety, and customer satisfaction:

<1.5% SoC Error:

Industry- leading estimation precision

Sensor Fusion + Adaptive Learning:

Voltage, current, temperature, historical data

Self-Correcting Algorithms:

Auto-corrects initial SoC errors

High Robustness –

Works under rapid load changes, low temperatures, and aging conditions

Safety Enhancement –

Prevents OOV/UVV/thermal risks via predictive analytics

Zero Recalibration Requirements

AI models reduce dependency on manual recalibration

Optimized Energy Management:

Perfect for EVs, ESS, industrial vehicles, and fleets

Why TWS Ultra Accuracy SoX Matters

Accurate battery insight directly impacts
performance, safety, and customer satisfaction:

  • Reliable range and runtime prediction
  • Longer battery service life through optimized charge-discharge patterns
  • Fleet-level energy insights for operations and maintenance
  • Greater safety via predictive fault detection
  • High user confidence for mission-critical applications
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