Case Study - AUTOSAR-based Battery Management System by Lemberg Solutions

	AUTOSAR-based Battery Management System Lemberg Solutions

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
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. Read the full case Read More
Customer Name	ST Microelectronics Read More
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. Read the full case Read More Log in to view content
Contents

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

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.

Read the full case

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.

Read the full case

Overview

AUTOSAR-based Battery Management System