Luxoft
Case Studies
Predictive Maintenance For Connected Vehicles
Overview
Predictive Maintenance For Connected VehiclesLuxoft |
|
|
Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics Application Infrastructure & Middleware - Data Visualization | |
Automotive | |
Maintenance | |
Predictive Maintenance | |
By 2025, Transport for London will have to meet strict emission-control regulations. This means buying and operating new fleets of hybrid or fully electric, zero-emission buses. As a consequence, many Original Equipment Manufacturers (OEMs) and operators will have to develop new technologies to help them get-to-market fast enough to meet demand. Read More | |
Vantage Power design and manufacture retrofit hybrid powertrains for buses, enabling operators to reduce their fuel consumption and emissions at a fraction of the cost of purchasing new hybrid buses. By designing the whole hybrid system - everything betwe Read More | |
Vantage Power Read More | |
Quantitative Benefit
Limits the time vehicles are in maintenance shops, reducing operational costs by over 80%. | |
Quickens time-to-market for OEMs by six months. | |
Identifies the ideal time and location for lithium-ion battery balancing, extending the operational life of a battery by around 10%. | |