Romeo Power’s Electro-Thermal Black Box (ETBB) Model Simulates the Electrical & Thermal Performance of Its Banyan Battery Module for OEMs
Romeo Power (NYSE: RMO) has launched its proprietary MATLAB Simulink-based Electro-Thermal Black Box (ETBB) Model, aimed at enhancing the adoption and performance of its Banyan Battery Modules among OEM customers. This simulation tool enables accurate predictions of battery performance, thereby reducing development costs and accelerating electrification. Additionally, the Aging Black Box Model assists in estimating battery lifecycle and optimizing usage. Romeo Power's innovations focus on effective thermal management and lifecycle assessments, crucial for the electric vehicle sector.
- Introduction of the Electro-Thermal Black Box Model, which enhances battery performance predictions for OEMs.
- The ETBB is designed to reduce development costs and speed up entry into electrification markets.
- Aging Black Box Model offers insights on battery lifecycle, aiding customers in optimizing usage and charging strategies.
- None.
Company’s Proprietary Tool Supports Customer Adoption and Utilization of Romeo Battery Products, Reduces Development Costs and Accelerates the Transition to Electrification
Romeo Power’s Chief Technology Officer AK Srouji, Ph.D., said the ETBB is a proprietary simulation tool that allows the Company’s OEM customers to predict and simulate the performance of its Banyan Module during vehicle operation, which supports Romeo’s goal to optimize adoption and utilization of its battery products.
“Our Electro-Thermal Black Box Model offers our valued customers an accurate representation of the performance of a new Romeo Power Banyan Battery Module. Our proprietary model was developed based on thousands of hours of research and testing that enables us to precisely tell how our batteries will function and operate in a given environment,” Srouji said. “This brings value to our customers by reducing their development costs and accelerating their entry into the electrification market.”
“The ETBB Model also provides our customers with an accurate software-based alternative to real-world testing and supports pre-planning for battery installation. The model predicts battery life at the beginning of its lifecycle and provides OEMs with critical battery response to the drive and charge profiles,” Srouji added.
In addition to the ETBB, Romeo offers an Aging Black Box Model, which provides a multi-lens perspective of vehicle-level aging including operating year, seasonal changes, mileage, energy throughput, capacity fade and resistance growth, as well as battery system level electro-thermal performance over its lifespan.
“Our Aging Black Box Model is an ideal tool for battery life estimation and warranty-related insights,” Srouji said. “It helps our OEM customers predict the lifecycle of our batteries in one vehicle or a fleet of vehicles. With this model, customers can look at the health of existing Banyan batteries and determine how long it will last in an application, allowing them to optimize battery life and develop a charging strategy.”
“For electric vehicles that go the distance, effective thermal battery management and lifecycle assessments are critical,” said
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