BMSTAR
电池管理系统
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.
最佳的性能
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.
最佳的性能
Adaptive advanced controls functions, over-the-air updates & data analytics functions running on the cloud.
基于AI的功能
Remaining Useful Life (RUL)
- 估计到使用寿命结束的剩余时间
- 既可用于基于云的车队数据分析，也可作为BMS的一部分在车辆上使用。
- 指导原始设备制造商和他们的电池供应商了解电池的实际生活中的车队性能。
Predictive Cell Diagnosis
- 分析领先指标能够提前数月诊断出电池单元问题。
- 复杂的数据扩增技术，支持机器学习模型的训练。
- 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.
基于AI的功能
Remaining Useful Life (RUL)
- 估计到使用寿命结束的剩余时间
- 既可用于基于云的车队数据分析，也可作为BMS的一部分在车辆上使用。
- 指导原始设备制造商和他们的电池供应商了解电池的实际生活中的车队性能。
Predictive Cell Diagnosis
- 分析领先指标能够提前数月诊断出电池单元问题。
- 复杂的数据扩增技术，支持机器学习模型的训练。
- 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.
平衡
- 可以支持主动或被动平衡
- Works with cell-level information (SoC) for optimal balancing
- 可以为不同的应用进行校准（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.
平衡
- 可以支持主动或被动平衡
- Works with cell-level information (SoC) for optimal balancing
- 可以为不同的应用进行校准（EV、PHEV、HEV）。
- Includes high level diagnosis of balancing function.
BMS硬件
- 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
智能充电控制
- 考虑到当前的电力状态，优化充电电流和曲线
- Calibratable trade-off between charge time and ageing
- 与热管理部门的信号接口，用于快速充电事件
- Communication to the charge station via the vehicle control unit.
热管理
- 同时支持液体或空气冷却系统
- High level diagnosis of thermal management function
- 计算泵、风扇、PTC加热器和其他单元/模块加热元件的控制信号
- Interface to quick charging function.
Service & Amp Diagnostics
- 使用历史功能（用于保修）。
- Recording battery usage parameters (pack SoC, current voltage, max & min cell voltage, SoC etc.)
- Diagnosis management
- 诊断信息和DTC的处理
- ISO 14229 compliant implementation.
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