Electra Vehicles to Showcase Revolutionary Ai-Powered Battery Technology at MOVE 2024, Eliminating Range Anxiety
19 June 2024 - 9:00AM
Business Wire
Electra Vehicles, Inc.:
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Electra Vehicles, Inc. Unveils EVE-Ai Technology at MOVE
2024
Electra Vehicles, Inc. is thrilled to announce the world
premiere of our in-vehicle demonstration of EVE-Ai (Range Expert
and Fleet Analytics modules), our cutting-edge AI technology
designed to revolutionize battery performance management, eliminate
range anxiety, and support the expansion of the electric vehicle
(EV) industry. At MOVE 2024, we will showcase EVE-Ai’s
capabilities, leveraging advanced AI algorithms to provide
real-time, personalized insights, predictive maintenance, and
enhanced battery safety, benefiting EV drivers, OEMs, and fleet
managers.
Addressing Range Anxiety
Most electric vehicle users (54%1) worry about unreliable
battery ranges, leading to range anxiety. With an average error
rate of 10%2 in range estimation, it's clear why this is a
significant barrier to EV adoption. Electra’s Range Expert,
showcased in a Fiat 500e, addresses this issue by achieving an
error rate of less than 1%—a 100% improvement over the average
error. We collect and integrate information from external sources
(traffic, road conditions, and weather), internal battery data
(temperature and degradation), and users' driving styles, providing
a customized experience for every driver. Our ML-based AI algorithm
processes all this data through the cloud, delivering outputs on
the vehicle screen such as target energy remaining at the
destination, precise trip energy consumption, precise ETA, and
battery health status. This enhanced accuracy improves trip and
charging planning, boosts trust in EVs, and can increase sales by
up to 10% for OEMs who are currently losing customers to range
anxiety.
Empowering Fleet Managers
Fleet managers are beginning to electrify their fleets but face
significant challenges due to a lack of tools for gaining insights
into the health of their EVs. In fact, 55% of fleet managers are
concerned about EVs' maintenance, security, replacement, and
lifespan. Considering that an EV battery accounts for one-third of
a car's total value1, monitoring and assessing its health is
crucial. Our technology addresses these concerns by empowering
fleet managers with advanced alerts when an EV fleet battery is at
risk of failure or needs maintenance—up to three months in advance.
Using our sophisticated algorithm, we monitor and analyze data from
both internal and external environments. Electra can transform any
EV fleet with enhanced battery performance and reliability. Our
AI-driven technology gives fleet managers improved visibility into
each vehicle and overall fleet health trends. By optimizing battery
usage, and predicting failures and maintenance needs up to three
months in advance, Electra enables proactive maintenance
strategies, minimizes risks, and reduces costs, helping fleet
managers scale their operations effectively.
Empowering EV Drivers
EVE-Ai Range Expert module is dedicated to enhancing the driving
experience by keeping drivers informed with personalized
information. Our technology provides:
- Real-Time Customized Insights: we offer 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 our 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 life3 by up to 40%.
Supporting OEMs
EVE-Ai offers substantial benefits for OEMs, enhancing customer
engagement and brand positioning by providing accurate insights and
information to EV customers. Our technology:
- Improves Customer Engagement and Brand Positioning:
Personalized experiences for drivers increase customer satisfaction
and loyalty.
- Increases Sales Targets: Tackling range anxiety can
boost EV adoption and sales up to 10%.
- Reduces Production Costs: OEMs can save on EV production
costs with additional insights and optimization capabilities.
Enhancing Fleet Management
Fleet managers gain comprehensive visibility and control over
their fleets with the EVE-Ai Fleet Analytics Module, ensuring
efficient operations and cost savings. Our AI technology
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.
Electra Vehicles, Inc. is excited to bring these advancements to
the electric vehicle industry, showcasing how our innovative AI
technology can transform the future of EVs.
1https://newsroom.aaa.com/2023/11/annual-electric-vehicle-sentiment-survey/
2https://www.motorfinanceonline.com/news/motorists-warned-ev-range-tests-are-flawed-what-car/?cf-view&cf-closed
3https://www.seai.ie/blog/understanding-ev-battery/
About Electra Vehicles, Inc.
Electra Vehicles, Inc. is at the forefront of the BMS industry,
dedicated to driving innovation and sustainability for a greener
world. Our EVE-Ai technology represents a significant leap forward
in battery performance management, ensuring that batteries can go
further, last longer, and operate more efficiently than ever
before.
For more information, please visit
http://www.electravehicles.com.
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version on businesswire.com: https://www.businesswire.com/news/home/20240619161073/en/
Media Contact: Director of Marketing & Communications :
Giovanni Rossi Electravehicles.com Email:
grossi@electravehicles.com