BorgWarner Expands BMS Program for BEV and PHEV Lines with Global OEM
2023
2029
800 V
What Happened
BorgWarner has been supplying its battery management system (BMS) to a global original equipment manufacturer (OEM) since 2023. The expanded award will support additional B-segment and C-segment passenger cars, as well as light commercial vehicles, for both battery-electric vehicle (BEV) and plug-in hybrid electric vehicle (PHEV) applications beginning in 2029. BorgWarner's BMS is a modular system with a central battery monitoring unit (BMU) connected to cell monitoring units (CMUs) that monitor charge level, battery health, temperatures, and cell voltages while performing passive cell balancing. The system supports fast DC charging communication and meets Automotive Safety Integrity Level D (ASIL D) functional safety goals for demanding safety expectations.
BorgWarner begins supplying BMS to the OEM.
Expanded BMS applications begin for additional vehicle lines.
“We're pleased to expand our series-production battery management program, highlighting our customer's confidence in our production-proven design that's already performing in real-world vehicle applications. As our customer adds new electrified vehicle lines, we're upgrading compatibility to help them scale efficiently while maintaining the safety, durability and performance expectations that drive”
Why this matters
The expansion shows OEM confidence in BorgWarner's proven BMS design, enabling cost-efficient scaling of electrified vehicle portfolios with validated safety and performance.
Terms in This Story
- BMS
- Battery management system, an electronic system that monitors and controls battery charging, discharging, and health.
- BEV
- Battery-electric vehicle, a vehicle powered entirely by electricity stored in batteries.
- PHEV
- Plug-in hybrid electric vehicle, a vehicle with both an internal combustion engine and a battery that can be charged from an external source.
- ASIL D
- Automotive Safety Integrity Level D, the highest level of functional safety risk classification in automotive systems.
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