Electra Vehicles, Inc. has launched EVE-Ai (Range Expert and Fleet Analytics modules), an AI software designed to enhance battery performance management, improve EV battery range accuracy, and enable predictive alerts for maintenance needs and failures in EV fleet vehicles.
The new software leverages advanced AI algorithms to provide real-time, personalized insights. Range Expert Module Delivers 99% EV Battery Range Accuracy Electra’s new Range Expert module boasts a battery range error rate of less than 1%, ten-times less than the average error rate of 10% in EV range estimation.
Given that most electric vehicle users (54% ) worry about unreliable battery ranges, Electra Vehicles believes the integration of this software will significantly reduce ‘range anxiety’ among prospective EV buyers.
“Our technology collects and integrates information from external sources such as traffic, road conditions, and the weather, alongside internal battery data such as the temperature and degradation, and combines this with the users’ driving styles to provide a customized experience for every driver,” said Giovanni Rossi, Electra Vehicles director of Marketing & Communications.
EVE-Ai Range Expert module enhances the driving experience by keeping drivers informed with personalized information and offers:
- Real-time customized insights: Precise energy estimates to help drivers reach their destinations efficiently and charge when necessary to save time and prevent range anxiety. The EVE-Ai Range Expert module adapts to individual driving styles by incorporating battery and external data.
- Predictive maintenance strategies: Thanks to data collection and machine learning algorithms, the EVE-Ai module can detect faults and recommend preventive maintenance up to three months in advance.
- Improved battery safety and reliability: Accurate insights from EVE-Ai reduce EV maintenance costs and increase reliability and safety, extending battery life by up to 40%.
The newly launched EVE-Ai Fleet Analytics Module also delivers significant benefits to fleet managers, including advanced alerts for when an EV fleet battery is at risk of failure or needs maintenance — up to three months in advance. EVE-Ai uses an algorithm to monitor and analyze data from internal and external environments of fleet vehicles, optimizing battery usage and enabling fleet managers to predict failures and maintenance, while also providing greater visibility into each vehicle, and overall fleet health trends.
Fleet managers gain comprehensive visibility and control over their fleets with the EVE-Ai Fleet Analytics Module, ensuring efficient operations and cost savings.
The new software provides:
- Accurate fleet monitoring: Real-time monitoring of battery state of health (SOH), state of charge (SOC), and remaining useful life (RUL) to effectively monitor, maximize, and protect assets.
- Predictive fault detection and maintenance: Data collection and machine learning enable maintenance predictions up to three months in advance, reducing downtime and costs by up to 30%.
- Extended battery life: EVE-Ai extends battery life by up to 40%, providing significant cost savings and increased safety and reliability.
Overall, the new EVE-Ai system offers substantial benefits for OEMs, enhancing customer engagement and brand positioning by providing accurate insights and information to EV customers.
Filed Under: Software, Technology News