In addition to last week’s discussion of hyperscale analytics & data generated in battery tech design, today we are discussing an essential aspect of data-driven research & development in energy storage systems: the data platform.
Contact: Betsy Barry
As the demand for safe, reliable, and efficient power solutions has increased over the years, the role of data and data analytics in shaping the performance and management of energy storage systems has taken center stage. While the barriers to collecting data have lowered, the ability of organizations to analyze their data and obtain meaningful results remains a challenge.
To overcome this challenge, state-of-the-art data platforms allow energy storage systems to be remotely monitored and analyzed, providing seamless pathways for data acquisition, processing, and analytics. These platforms serve as a central hub for facilitating real-time monitoring, predictive analytics, and performance optimization.
There are several ways that a data platform is central to the design, validation, and management of energy storage systems.
Primarily, an effective data platform is a foundation for seamless cooperative development, fostering an environment where data analysis and report generation are collaborative efforts. This collaborative aspect is bolstered by the platform’s emphasis on sharing and reusing code, expediting development cycles, and ensuring a rapid pace of innovation. The availability of Software Development Kits (SDKs) empowers clients to effortlessly integrate the platform into their data acquisition systems, fostering a cohesive and efficient data ecosystem.
One of the platform’s key strengths lies in eliminating barriers to data access from remote locations and labs, allowing for easy aggregation of data from various physical sources and disparate information streams into one location. Remote upload capabilities add an extra layer of flexibility, enabling users to access data and reports, regardless of location.
In the realm of data processing, the platform demonstrates its versatility by efficiently handling data streams from a myriad of client platforms and systems. This adaptability ensures that the platform remains at the forefront of data analytics, meeting the dynamic needs of diverse users. Moreover, the platform provides scalable resources to meet the ever-growing computational demands of data processing.
Data security and privacy are addressed by restricted user access and expressly defined permissions, where the platform safeguards sensitive information, ensuring that only authorized individuals can interact with specific datasets.
An additional benefit of the data platform is its ability to alleviate the burden on end users in terms of hardware requirements. By virtualizing data processing capabilities, the platform removes the need for individual users to invest in or maintain expensive hardware, fostering a more cost-effective, resource-sensitive, and user-friendly environment. All in all, data platforms are an effective single source for interfacing with data–from data processing to generating meaningful reports–in order to streamline all manner of data-driven enterprises related to energy storage systems.
Data platforms are essential in the data-centric design
& validation of advanced battery systems by being
an effective single source
for interfacing with data, from data processing to generating meaningful reports.
Currently, Acculon uses our own custom data platform for design, validation, and analysis. For example, we rely on our data platform to process and analyze data generated from our battery laboratory and to leverage automated report generation. We also use it as a hub for external labs and remote clients to upload their data from across the country and have it ready for processing in seconds. Additionally, we use our data platform to process data originating from physical machines and vehicles for duty-cycle analysis, even relying on it for model validation and calibration, and running simulations across various duty cycles for a range of EV applications.
Our data platform is essential to our research and development endeavors, which are necessarily data-driven and team-centered. It is central to overall data processing, management, and analysis, as well as creating a collaborative environment that drives the optimization and management of our energy storage systems, from start to scale. If you are interested in the role of data platforms in advanced energy systems, please reach out to us to learn more!