BATTERY MANAGEMENT SYSTEM (BMS)
We at RC Labs design and manufacture Intelligent Battery Management Systems for EVs and stationary energy storage.
RC Labs’ BMS can physically scale to greater than 100 cells in series (NMC, LFP, LTO, Supercapacitors/Ultracapacitors), thus making it application and chemistry agnostic. Our approach stacks individual BMSs for higher voltage applications and enables plug & play of communication and functional modules. All our BMSs are supported with CAN, UART, LIN, SPI and come with an add-on telematics unit.
The data acquisition and machine learning algorithms enable us to understand battery behavior in different weather conditions, applications and driving terrain. This approach significantly improves battery status estimation, enhances battery life, and impedes fire accidents. The data acquired is used to develop a chemistry agnostic model of the battery, further strengthening the flexibility
FEATURES
Adaptive Control
Segment & geography agnostic intelligent control
Chemistry Agnostic
Compatible with NMC, LFP, LTO, Supercapacitors, Ultracapacitors
Modular
Electric-Bike to Electric-Bus Modular application
Internet of Things
Enables data collection, remote monitoring and over-the-air updates
What is Battery Management System?
A Battery Management System (BMS) is an electronic circuit that ensures that rechargeable batteries, especially Lithium-based chemistries, do not operate outside their safe operating region – in terms of voltage, current, and temperature. A typical BMS has two layers – a hardware layer with circuit components and a firmware layer. RC Labs’ BMS has an additional software layer of intelligence to further ensure safe and reliable operations of the battery packs.
Quality battery management systems expedite the global adoption of Electric Vehicles and Renewable Energy enabling a greener world!
Battery life & range
Improves battery life; Optimizes driving range in case of EVs
Reliability
Improved state-of-charge and state-of-health estimations
Safety
Impede fire accidents; Battery health prognosis & predictive maintenance
Plug & Play Architecture
Customers can enter new vehicle segments with a single scalable BMS
KNOW ABOUT
INTELLIGENT BATTERY MANAGEMENT SYSTEM
OUR ARTICLES
Protection against faulty chargers
In the rapidly evolving world of electric vehicles (EVs), the focus often remains on the cutting-edge technology powering these vehicles, but there’s another crucial element that deserves attention: the charger. Faulty chargers can have a [...]
Need for predictive maintenance in batteries
Predictive maintenance is a proactive maintenance strategy that harnesses data analytics, and machine learning to predict when an equipment or a machinery is likely to fail. Through the analysis of historical and real-time data, predictive [...]
