Smart transportation is influenced by Big Data Analytics by allowing the movement of Electric Vehicles online to optimized EV charging. The next disruptive market force within the technology and transport sector are plug-in EVs. They are connected and can revolutionize the way that energy is redirected, created, and used. Among the numerous connected devices, electric vehicles and smart grids are both producing high quantities of significant big data. EVs are producers and consumers of big data and produce data from various sources such as trip logs, sensors, etc. After the data has been harnessed through the use of big data methods, it may be used to:

- Smart cities transformed into green smart cities

- Solve energy efficiency problems

- Develop intelligent charging algorithms

- Develop strategies and policies to site EV charging stations

According to the 2019 GEVO, global electric mobility currently is expanding at a very rapid rate. In 2018, worldwide electric vehicles passed the 5 million mark, which was a 2 million increase when compared with 2017. Although China has the biggest global electric vehicle market - and then Europe and the US - Norway still is the global leader in the market share of the electric car market. Contact Bates Electric to discuss a charging point in your home or work place.

With the increasing adaptability of EVs all over the world, massive quantities of data are being generated from EVs, infrastructure, charging stations, and drivers. To harness the big data, therefore, needs data analytic tools for retrieving actionable and intelligent insights.

How Can Big Data Analytics Help?

There is a wide range of ways that Big Data Analytics can help to integrate EVs, such as EV status racking, efficient battery management, and optimized charging. Although cost-effectiveness, convenience, etc. are critical for efficient adoption levels for EVs, the analytics from Big Data can directly help to improve those levels by offering useful insights on:  

EV Charging Stations

Selection of charging stations - where the complete locality is scanned to identify and analyze potential individual charging stations

Increase awareness - identify activity centers that are highly visible for charges that help to boost maximum exposure to encourage people to adopt EVs.

Optimization and right-sizing of the grid load - through analyzing how many chargers are required, costs that associated with charging, the load on the grid, and installation costs

Intelligent Algorithms

Optimizing charging - it is possible to develop models that consider the data on users, vehicle battery, charging station, grid demand, etc

Predicting consumption  - for predicting battery consumption and improving battery consumption accuracy

EVs tracking - provides insights on maximum voltage, temperature, location, vehicle speed, etc. from data that the sensors collect

How To Solve Energy Efficiency Problems

EV energy efficiency can be improved by saving the energy that is accumulated in vehicles. The potential for achieving energy efficiency is going to depend on sights gained from specific factors such as -  reliance on solar supply, electric engine design, use of waste heat energy, usage of energy under braking, etc.

Greener and Smarter Cities

Pollution is being cited as one of the major causes of climate change. Therefore, it is critical o choose EVs and other environmental-friendly solutions. Amazing recently purchased electric delivery vans from Rivian, a Michigan-based startup, as an attempt to take on climate change.

- Electric car innovation through the use of advanced technologies helps to boost economic growth

- Natural resources such as oil field can be saved since EVs do not need oil to be drilled

- The metal parts in EVs do not harm the environment although they are not completely environmentally-friendly

- Adopting EVS reduces the emissions of greenhouse gas that results in improving society's overall health conditions

- Reducing these emissions even further is possible if EVs can be charged using renewable energy such as wind and solar

Conclusion

Big Data helps to leverage, analyze, and harness large amounts of data that is available from electric vehicles. That can make a significant difference in how easy it will be to introduce EVS into futuristic cities.