Lemberg Solutions > Case Studies > AUTOSAR-based Battery Management System

AUTOSAR-based Battery Management System

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 AUTOSAR-based Battery Management System - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Other - Battery
Applicable Industries
  • Automotive
  • Battery
Applicable Functions
  • Logistics & Transportation
  • Quality Assurance
Services
  • Data Science Services
  • Hardware Design & Engineering Services
  • Software Design & Engineering Services
The Customer

ST Microelectronics

The Challenge

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. 

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The Solution

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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