Applying Data Science For Electric Vehicle Safety & Efficiencies

The Nesh LIVE solution is a comprehensive platform which collects & transfers vehicle data to the cloud for real-time analytics using AI/ML algorithms. Being an integrated SAAS platform our primary focus is to enable automakers with technology to harness the power of data. We enable small and medium businesses to automate operations by integrating vehicle data with other data assets.

Our solutions are customized to support the battery value chain and accelerate sustainable and low-carbon economic growth. Focusing on the battery life cycle and advanced safety issues, Nesh LIVE aids OEMs, battery manufacturers and fleet owners to mobilize solutions.

Our solution serves as a collaborative platform between the different players in the Electric vehicle ecosystem, to remove the unnecessary inefficiencies and thus optimize the value created by the lithium battery ecosystem.  Here are brief use cases of analytics that Nesh uses to achieve increased efficiencies to improve sustainability.

Battery real-time intelligence analytics

The advancement in Internet-of-things has made it effortless to remotely monitor, analyze and manage battery assets in real-time. Nesh LIVE’s Telematics Control Unit (TCU) enables the battery assets to directly syncs with our battery intelligence platform.

Processing millions of data points per second, our platform provides real-time data, visualizations, and custom dashboards to isolate problems for more in-depth analysis.

The solution’s data-driven analysis of the state of health and remaining useful life of a battery, provides reliable data to different stakeholders, including electric vehicle & battery owners, partners and financial service providers. Thereby, battery analytics acts as an additional tool to improve the efficiency of electric vehicle batteries and investors’ confidence.

Mitigate risks

The complex technical nature of batteries and the lack of large-scale historic data increases the risk for all stakeholders involved and as always risk comes with a price.

Nesh Live AI-Powered analytics identifies issues and saves revenue through analyzing batteries, it also increases efficiency and performance gains.

To keep the batteries safe and functional our sensors capture real-time data that interface seamlessly with battery intelligence platforms. Our solution enables notifications and alerts to monitor battery operation under safe conditions. During any abnormal situations, the system performs automated detection and notification before the problem escalates.

Alerts for safety

Nesh LIVE  SAAS platform monitors and analyzes all the battery parameters – from pack level to cell level– and provides degradation & SoH analysis. It monitors various operating conditions such as overtemperature, overcurrent, cell balancing, and over- & under-voltage conditions. It also sends alerts for threshold violations that help prevent cell damage and abnormal degradation, and control overheating.

Warranty management

Optimum usage of battery using Nesh’s platform untapped revenue potential. The software gives automated notifications, alarms, and guidance to customers enabling early reaction to unusual utilization rates or state of charge levels that go beyond the battery supplier’s warranty limits.

Our solution keeps track of all the possible warranty violations based on warranty terms and notifies as soon as any violations occur. It sets thresholds for various warranty-bound parameters, which helps smoothen the warranty claim process.

Help owners resell, reuse and recycle 

Nesh LIVE’s expertise lies in optimizing, storing and managing an immense amount of data from all types of batteries which helps businesses to increase their battery investment returns, regardless of the battery application.

Nesh Discharge Diagram

Features such as centralized monitoring, optimum battery performance, lifetime prediction, support in possible quality issues, improved safety as well as assistance with recycling and re-purposing all contribute to holistic battery life cycle management.

Features such as centralized monitoring, optimum battery performance, lifetime prediction, support in possible quality issues, improved safety as well as assistance with recycling and re-purposing all contribute to holistic battery life cycle management.

With electric vehicles, reselling the car or reusing the batteries for other businesses becomes much easier when the battery’s historical data is available.

Promote partnership with insurance companies for usage-based insurance

Nesh LIVE uses advanced analytics to record driving information like speed, braking, acceleration, and frequency of usage. Insurance companies use these analytics to analyze driving behaviour and determine the risk profile of the driver, which helps to calculate the premium. The driver with a good score pays a lower premium compared to a rash driver.

Create new business models 

Data can help to improve the existing services, in meantime, it opens up new opportunities for totally new business. When the usage and battery health data is given in a single platform it enables a seamless process of the operations and billing system, battery-as-a-service or mobility-as-a-service type of business models. These businesses take into account the actual battery asset usage and degradation becomes possible.

Recently, financial providers have started to provide battery-as-a-service business models, taking the assets on their own balance sheets. These business models have the capabilities to speed up the adoption of batteries in various sectors. However, these business models can take advantage of accurate data on battery health and its useful lifetime to scale up. Nesh LIVE battery analytics is the enabler for such business models.

Conclusion

Thus the transforming EV industry and evolving customer preferences make data science integrated battery and vehicle manufacturing and charging point optimization a necessity today. Nesh LIVE works towards addressing the technology gaps that are not only rooted in current needs but in the anticipation of how the market may evolve.