Our EV charging station analysis research and report delivers a comprehensive study of charging infrastructure across several key performance indicators (KPIs). The analysis covers charger status by location, charging type, power levels, and time slots, offering valuable insights that help in making informed decisions. For example, checking chargers’ availability based on city and area-specific status and comparing charger types (e.g. Fast, standard) based on real-time data is possible.

Also, you can check the best charging stations and charger types by utility, highlighting top-performing combinations of charger, type, and power.

The detailed report allows businesses to optimize their EV charging networks for better efficiency and service quality.

Data Sources

We can get EV charging station data from several sources including:

1. Public EV Charging Networks: Several charging networks including ChargePoint, Tesla, EVgo, etc. provides with real-time data on charger availability, charging status, power levels, and location-based metrics.

2. Government Databases: National and regional databases, such as the U.S department of Energy’s Alternative Fuels Data Center (AFDC) or European Alternative Fuels Observatory (EAFO), offe extensive data on public and private charging stations.

3. Utility Providers: Several utility companies monitor and provide data on energy consumption and charging patterns at stations within their service areas.

4. Smart Charging Systems: IoT-based charging infrastructure provides real-time data on charger status, types, power, ratings, and usage patterns.

5. Telematics and Fleet Management Systems: Data from EV fleet operators or telematics platforms offer insights into usage patterns and charging stations. 

Key Insights

The analysis of EV charging stations explores particular variations in charger availability and usage across several providers and states. By examining the performance and distribution of chargers from leading players like EVgo and ChargePoint, as well as their presence in multiple locations. The below point highlights key findings regarding charger types, state-specific distributions, and utilization patterns that informs strategic decisions for enhancing charger availability.

1. EVgo uses 100% DC chargers, while ChargePoint utilizes 2.63% DC chargers, 97.23% L2 chargers, and 0.14% L1 chargers.
2. In seven states including Virginia, Maryland, Pennsylvania, Maine, Washington D.C, Delaware, and Rhode Island), ChargePoint has no chargers, while EVgo operates 97 chargers, representing 16% of its total 594 chargers in the US.
3. ChargePoint has 1386 chargers in California, which accounts for 98.36% of its total U.S. chargers, whereas EVgo has 384 chargers in California, representing 65% of its total U.S. chargers.
4. California has the highest stations of both ChargePoint and EVgo chargers, making it the most demanding state for EV charging infrastructure.
5. Rhode Island has two chargers that remain available at all times, indicating a potential need for a marketing campaign given the significant number of the EVs in the state.
6. Out of 1091 locations, 317 (29.05%) remain available at all times, suggesting a need for price reduction or marketing efforts to boost usage.
7. 81 locations (7.42%) are consistently in use, indicating an opportunity to consider a slight price increase at these high-demand locations.

KPIs (Key Performance Indicators)

1. Chargers and Location-wise Charger Status

This KPI provides insights into the availability and operational status of EV charges based on particular locations. It monitors whether chargers are in use, idle state, or out of service, allowing businesses to assess the demand and performance of charging stations at several geographic points.

2. Charging Type-Wise Charger Status

This KPI metric analyzes the distribution and usage of different charging types, such as DC fast chargers, Level 2 (L2), and Level 1 (L1). By monitoring the status of every type of charger, businesses can identify which chargers are most utilized and optimize the deployment of resources.

3. Charging power-wise Charger Status

This KPI tracks the operational status of chargers based on their power output (eg. 50 kW, 150 kW, etc.). It provides insights into which power levels are in high demand, helping to balance supply and enhance charger efficiency based on user preferences.

4. Day and Time-slot wise Charger Status

This KPI analyzes the availability and usage patterns of EV chargers throughout different times of the day and the week. It identifies the peak and off-peak hours, enabling optimal scheduling, maintenance, and pricing policies to maximize utilization.

5. City-wise Charger Status

By monitoring the status of the charger across multiple cities, this KPI highlights regional variations in demand and performance. It helps in identifying cities with the highest or lowest charger availability and usage, allowing for targeted enhancements or expansions.

6. Area-wise Charger Status

This metric explains deeper into particular areas within cities, offering minor insights into charger availability and status within neighborhoods or districts. It supports localized decisions regarding charger deployment and service enhancements.

7. Utility-wise Best Charging Station

This KPI ranks charging stations based on their overall utility, measuring factors such as uptime, usage frequency, and customer satisfaction. It provides a clear picture of the best-performing stations across a network.

8. Utility-wise Best Charger Type

The KPI ranks different type of chargers (eg. DC fast, L2, L1) according to their utility and effectiveness. It helps in identifying which charger types perform best based on metrics like user satisfaction, energy output, and operational reliability.

9. Utility-Wise Best Charger Power

This KPI ranks chargers based on their power output and efficiency. It evaluates the performance of various power levels (eg. 50 kW vs 150 kW) to determine which provides the best balance of speed, reliability, and user satisfaction.

10. Utility-wise Best Combination of Charger, Types & Power

This comprehensive KPI ranks the most effective combinations of charger types and power levels, offering a clear view of which configurations are delivering the best performance. It helps businesses optimize their changing infrastructure by identifying the best match of charger type, power, and location.

Major Goals of EV Charging Station Analysis Research and Report

The major goal of the EV charging station analysis research and report is to assess charger availability and performance across several locations, types, and power levels, identify peak usage times and regional demand, and optimize infrastructure to enhance efficiency and meet growing electric vehicle requirement effectively.

Target Audience

• EV charging network operators
• Utility providers
• Local Government
• Fleet operators
• Investors and Analysts
• Electric vehicle manufacturer
• Commercial property owners
• Infrastructure developers

Industries That Benefit from EV Charging Station Data Analytics

Industries that benefit from EV charging station data analytics include automotive manufacturers, utility providers, real-estate developers, retail, commercial property owners, fleet management companies and Government. These industries use EV charging station data to optimize infrastructure, enhance customer experience, and make informed decisions for expanding and managing EV charging networks.

Benefits of EV Charging Station Data Analytics

 

1. Optimized Infrastructure

Helps to identify high-demand areas and optimize the placement and type of charger stations.

2. Enhanced User Experience

Provides insights into charger availability and performance, enhancing convenience for EV owners.

3. Efficient Resource Allocation

Assists in planning and managing energy resources more effectively, reducing operational costs.

4. Strategic Expansion

Informs decisions on where to expand or upgrade charging networks based on usage patterns and profitability.

5. Revenue Generation

Identifies opportunities for pricing policies and marketing campaigns to boost station usage and profitability.

Summary

EV charging station data analytics provides valuable insights for optimizing infrastructure, enhancing user experience, and efficiently managing resources. It helps with strategic expansion, proactive maintenance, and revenue generation while supporting environmental goals. By analyzing charger availability, usage patterns, and performance, businesses can make informed decisions to enhance their EV charging networks.