A Guide to Electric Vehicle Monitoring

The vehicle-related specific data is a major driving force behind decisions such as investments in charging infrastructure, fleet diversification, and upskilling of drivers. That is how EV fleets are considered close to the “tipping point” of mass adoption. Electric vehicle monitoring enables reliability by detection, diagnosis, and prognosis. 

Stringent government policies towards emission reduction are going to change the way transportation looks today. City planners and managers leverage the power of transport data for an emission-free, clean environment. Electric vehicle(s) answer these complicated questions based on their ability to deliver real-time trustable data. A smart electric vehicle monitoring system gathers, reports, analyses, and translates this data for efficient fleet management in realising the broader agendas.

Electric Vehicle Monitoring Data

Electric vehicle fleet management solutions are commonly based on telematics with user-friendly hand-held devices. In real-time monitoring of the electric fleet, specific data is collected and processed for a tailor-made route best for each vehicle. At the core of monitoring fleet performance, GPS signal and data analytics enables it to make solid predictions aiming at improving efficiency. Effective monitoring provides insights about:

• Vehicle data

Vehicle profiling is operated on the cloud and continuously undergoes learning and process improvement. EV data guides fleet managers about the actual range of the vehicles, energy consumption, and overall fleet performance.

• EV Battery data

The battery usage data and charging status can be useful in determining battery health. Electric vehicle monitoring supports the evaluation of fleets’ and individual vehicles’ state of charge. The data is useful in steering away from the charge anxiety.

• Route and schedule data

Electric fleet’s optimal route planning is a key dynamic in the total cost of EV ownership. Integrated approach with built-in google maps collects real-time for the best possible charging points on the vehicle’s route. The process ensures that the vehicle continues its operation with a safe charge limit and doesn’t cause range anxiety for drivers or fleet managers. Additionally, the entire electric fleet operates in sync with electric charge readings and asset optimal use. Such monitoring is proving beneficial particularly for electric buses.

• Uncontrollable factor data

Monitoring of uncontrollable conditions like geography, road type, or climate provided insights regarding the state of charge which is helpful for accurate prediction of range during certain times of the year or a day.

• Driver behavior data

Last but not the least, the driver behavior alteration towards more safe driving can be achieved based on the data on the go. The monitoring mechanism is quite effective in accident ratio and imposing corrective measures promptly.

Maximum resource utilisation and efficiency of electrical infrastructure with reduced costs are major aspirations in the EV adoption regime. A few opportunities that exist in the core of electric vehicle monitoring, are;

• Avoiding costly upgrades in electrical infrastructure
• Technology advancement and scalability
• Use of IoT and smart technologies for mitigation of cost barriers
• Achieving the utilisation efficiency of electric fleets

Unlock the power of effective monitoring by employing an efficient EV Monitoring system with Evenergi.

Supporting Documentation

1.  https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-epa.2018.5732
2. https://www.greenbiz.com/article/4-cities-using-transportation-data-be-more-sustainable-and-socially-inclusive
3. https://blog.contus.com/iot-enabled-electric-vehicle-monitoring-solution/
4. https://iopscience.iop.org/article/10.1088/1757-899X/252/1/012095/pdf
5. https://ieeexplore.ieee.org/document/6915044
6. https://www.dcs.warwick.ac.uk/~nathan/resources/Publications/aii-2016.pdf
7. https://ieeexplore.ieee.org/document/8005044
8. https://www.csagroup.org/wp-content/uploads/CSA-RR_ElectricVehicle_WebRes.pdf