State of charge (SoC)
Reliable estimation for automotive and mobility
Entroview provides a software solution tailored for automotive and mobility, delivering less than 1% SoC error, ensuring vehicle autonomy, and extending battery lifespan by reducing the typical 6% loss in usable capacity.
“Imagine a bucket where the water level stays flat, whether it’s almost full or empty”
LFP batteries have a similar problem—it’s hard to tell how much charge is left because the voltage barely changes. This can lead to inaccurate estimates of how much energy you have left, which impacts performance. Think of electric vehicles like the Renault 5, where this precision is crucial to arrive at destination.
Key features
Entropy-Driven Calibration
Self-correcting algorithms improve reliability by reducing estimation uncertaintiesReal-time
SoC monitoringInstant updates for precise energy managementAdaptability
Compatible with all battery types and sizesEnergy Efficiency
Low power consumption for optimized operationsSensor-Free Design
Requires no additional hardware for implementationUnparalleled Accuracy
Reliable SoC estimation with less than 1% error
The problem
Traditional SoC estimation methods, like OCV (Open Circuit Voltage) or Coulomb Counting, lack precision due to sensor inaccuracies and misestimations of the initial charge state. These errors often lead to a +/-3% SoC deviation in large battery packs, resulting in a 6% loss in usable capacity, which translates to ~$850 in wasted battery potential for a 100kWh EV.
The embedded solution in your vehicule
Entroview’s technology uses a thermoelectric model combined with real-life measurements (temperature, voltage, and current) to estimate SoC with less than 1% error.
Software integration
Embedded in the Battery Management System (BMS) microcontroller, requiring no additional hardware.
Optional hardware
Temperature sensors for precise monitoring when needed.
No additional sensors needed
Adaptable to all battery types and sizes
Benefits for automotive & mobility measures
Boosts autonomy
Accurate SoC data ensures precise range predictions, reducing operational uncertainty.
Enhances safety
Prevents unexpected battery depletion, ensuring reliable EV performance.
Increases lifespan
Optimizes charging cycles and usage, preserving battery health.
Cost efficiency
Maximizes usable capacity, avoiding unnecessary losses.
No recalibration needed
Unlike traditional methods, our solution eliminates weekly recalibration to ensure accurate SoC estimation (e.g., Tesla’s recommendation).
This plug-and-play solution brings together the essential hardware and advanced software you need to maximize battery life and reliability.
