BMSTAR
Battery Management System
AI Ready Automotive Grade Battery Management System. BMSTAR® combines highly accurate models of the battery with Artificial Intelligence and advanced estimation methods, to ensure accurate and reliable data on the battery state & operation.
Why choose Eatron's BMSTAR?
Eatron is an expert team with a strong history of delivering products to leading OEMs and Tier-1s, including NIO, Vinfast & Knorr-Bremse for serial production. Eatron’s innovative software platform enables automotive and mobility OEMs and Tier-1s to rapidly integrate Eatron’s offerings for serial production. With our hardware agnostic software platform built on physical models, we give you the edge you need to make you a leader in the development of software defined mobility.
BMSTAR’s software component at the edge is designed to have a cloud counterpart with integrated connectivity and analytics. These enable over-the-air updates, as well as continuous and adaptive software improvements to achieve superior performance and reliability (e.g. for SoC/SoH) over the lifetime of the vehicle.
This is achieved via physics-based algorithms and AI powered software functions – for both low-voltage (LV) and high-voltage (HV) BMS.
150+
combined years of BMS development experience.
High SOX accuracy
Calculation of state of charge, power, health & energy.
Fast time-to-market
Highly configurable software platform developed for serial production.
Optimum security
Complies with ISO26262, ASPICE, ISO21434 & ISO9001.
Optimum performance
Adaptive advanced controls functions, over-the-air updates & data analytics functions running on the cloud.
Why choose Eatron's BMSTAR?
Eatron is an expert team with a strong history of delivering products to leading OEMs and Tier-1s, including NIO, Vinfast & Knorr-Bremse for serial production. Eatron’s innovative software platform enables automotive and mobility OEMs and Tier-1s to rapidly integrate Eatron’s offerings for serial production. With our hardware agnostic software platform built on physical models, we give you the edge you need to make you a leader in the development of software defined mobility.
BMSTAR’s software component at the edge is designed to have a cloud counterpart with integrated connectivity and analytics. These enable over-the-air updates, as well as continuous and adaptive software improvements to achieve superior performance and reliability (e.g. for SoC/SoH) over the lifetime of the vehicle.
This is achieved via physics-based algorithms and AI powered software functions – for both low-voltage (LV) and high-voltage (HV) BMS.
150+
combined years of BMS development experience.
High SOX accuracy
Calculation of state of charge, power, health & energy.
Fast time-to-market
Highly configurable software platform developed for serial production.
Optimum security
Complies with ISO26262, ASPICE, ISO21434 & ISO9001.
Optimum performance
Adaptive advanced controls functions, over-the-air updates & data analytics functions running on the cloud.
AI Based Functions
Remaining Useful Life (RUL)
- Estimates the remaining time until the end of useful life
- Can be used for both cloud-based fleet data analysis and on-board the vehicle as part of the BMS
- Guides OEMs and their cell suppliers on the real-life fleet performance of batteries.
Predictive Cell Diagnosis
- Analyzing leading indicators enables diagnosis of battery cell issues months in advance.
- Sophisticated data augmentation techniques to support training of machine learning models.
- Models are able to run in real time on the edge (for in-vehicle application) and in the cloud (for large scale data analysis).
Cloud platform
- Ready to receive secure streaming data
- Generic deployment model to support major cloud providers to minimize data movement
- Includes AI and physical model execution to support big data analytics and insights
- Insights turn into edge software updates via OTA.
AI Based Functions
Remaining Useful Life (RUL)
- Estimates the remaining time until the end of useful life
- Can be used for both cloud-based fleet data analysis and on-board the vehicle as part of the BMS
- Guides OEMs and their cell suppliers on the real-life fleet performance of batteries.
Predictive Cell Diagnosis
- Analyzing leading indicators enables diagnosis of battery cell issues months in advance.
- Sophisticated data augmentation techniques to support training of machine learning models.
- Models are able to run in real time on the edge (for in-vehicle application) and in the cloud (for large scale data analysis).
Cloud platform
- Ready to receive secure streaming data
- Generic deployment model to support major cloud providers to minimize data movement
- Includes AI and physical model execution to support big data analytics and insights
- Insights turn into edge software updates via OTA.
SoX Functions
High accurate calculation of:
- State of charge
- State of power
- State of health
- State of energy.
Key features:
- All calculations take into account battery ageing
- Electro-thermal equivalent circuit model based approach
- Dual estimation structure (estimation of states, parameters)
- Includes high level diagnosis.
Balancing
- Can support active or passive balancing
- Works with cell-level information (SoC) for optimal balancing
- Can be calibrated for different applications (EV, PHEV, HEV)
- Includes high level diagnosis of balancing function.
SoX Functions
High accurate calculation of:
- State of charge
- State of power
- State of health
- State of energy.
Key features:
- All calculations take into account battery ageing
- Electro-thermal equivalent circuit model based approach
- Dual estimation structure (estimation of states, parameters)
- Includes high level diagnosis.
Balancing
- Can support active or passive balancing
- Works with cell-level information (SoC) for optimal balancing
- Can be calibrated for different applications (EV, PHEV, HEV)
- Includes high level diagnosis of balancing function.
BMS Hardware
- Reference hardware (Eatron design)
- ASIL C compliant safety concept
- Custom development
- E/E hardware development
- Basic software
- LV (12V-48V) & HV (up to 1000V) design.
Other features
Smart Charging Control
- Charging current and profile optimization taking into account current state of power
- Calibratable trade-off between charge time and ageing
- Signal interface to thermal management for quick charge events
- Communication to the charge station via the vehicle control unit.
Thermal Management
- Supports both liquid or air cooling systems
- High level diagnosis of thermal management function
- Calculation of control signal for pumps, fans, PTC Heaters and other cells/module heating elements
- Interface to quick charging function.
Service & Amp Diagnostics
- Usage history functions (for warranty purposes)
- Recording battery usage parameters (pack SoC, current voltage, max & min cell voltage, SoC etc.)
- Diagnosis management
- Handling of diagnostics messages and DTCs
- ISO 14229 compliant implementation.
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Please contact us to learn more about our solutions.
