AUTOSAR-based Battery Management System
- Analytics & Modeling - Real Time Analytics
- Other - Battery
- Automotive
- Battery
- Logistics & Transportation
- Quality Assurance
- Data Science Services
- Hardware Design & Engineering Services
- Software Design & Engineering Services
ST Microelectronics
We aimed to build an advanced BMS with improved accuracy of SoC and SoH algorithms for hybrid electric and electric vehicles. Our demo was built using automotive grade components and designed to conform to ASIL-D certification. The scope of work covered such safety features as Over/Under Voltage, Over/Under Temperature Protection, Short Circuit Detection, Cell Balancing, CAN Communication, and Faults Handling.
Lemberg Solutions’ data science team developed enhanced SoC and SoH algorithms that suited the requirements of high-reliability automotive applications. These algorithms use data from such sensors as temperature, current, battery chemistry, and capacity — thus enabling 96–98% SoC algorithm accuracy. Our algorithms ensure correct driving range determination, prolong battery pack lifespan, and reduce the risk of fire incidents. Our software development team implemented this algorithm along with a human-machine interface and other functionality.
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