Predictive maintenance
for electric vehicles
Connected vehicles for higher levels of efficiency & and safety. Continuous monitoring to prevent component outages and business interruption
![CaseStudies_PredictiveMaintenance (3) CaseStudies_PredictiveMaintenance (3)](https://e-mobility.solaredge.com/hs-fs/hubfs/CaseStudies_PredictiveMaintenance%20(3).jpg?width=2000&height=942&name=CaseStudies_PredictiveMaintenance%20(3).jpg)
The Main Objectives
- We collect data from the main EV components: batteries, ECUs, inverters, onboard chargers, etc.
- A big data analytics engine produces reports and dashboards with actionable insights for predictive maintenance to prevent vehicle downtime and component irreparabile damages.
- Web dashboards can be used by the technical service teams to analyze troubles on the components, streamlining the help -desk and diagnosis activities.
- The big data storage and the data-warehouse allow time series extractions, useful for historical and statistical analysis about the functioning of systems and components, essential for engineering and research teams for a continuous product
improvement.