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EV Fleet Smart Charging Reporting Notifications Billing & Integration

Hitachi’s EV Fleet Smart Charging Solutions provides fleet management from scheduling to vehicle to grid. This solution enables better visibility for complex fleet charging and maintenance processes. The result is reduced energy cost, optimized charging based on utilization, extended life of battery and reduced EV range anxiety.

This solution is for:

OT Executives
IT Executives
Product Managers

A web, mobile based analytics solution that provides better visibility for complex fleet charging and maintenance processes. Features includes real-time dashboard to show the energy cost, vehicle charging insights based on utilization.

Vehicle operations energy insights involve analyzing data from vehicles to identify patterns and trends in energy usage, as well as opportunities for energy savings. This analysis can help individuals and organizations to optimize their vehicle operations, reduce energy consumption, and save money on fuel costs.

The first step in vehicle operations energy insights is to collect data from the vehicles themselves. This data can include information on fuel consumption, driving behavior, engine performance, and other factors that impact energy usage. This data can be collected through the use of telematics devices or other monitoring systems.

Once the data has been collected, it can be analyzed using various techniques, such as data visualization, statistical analysis, machine learning, and predictive modeling. These techniques can help identify patterns in energy usage, such as excessive idling or aggressive driving behavior, and develop strategies for improving vehicle efficiency.

For example, vehicle operations energy insights can help identify the most fuel-efficient routes for vehicles, based on factors such as traffic patterns, road conditions, and terrain. They can also help optimize driving behavior, such as reducing excessive idling, accelerating gradually, and maintaining a steady speed, to minimize energy consumption and extend the range of vehicles.

Overall, vehicle operations energy insights are an important tool for optimizing vehicle efficiency, reducing energy consumption, and saving money on fuel costs. As the world seeks to transition to more sustainable transportation options, vehicle operations energy insights will become increasingly important in managing and optimizing vehicle fleets.

A web, mobile based analytics solution that provides better visibility overall energy consumption across various fleet depot charging sites based on utilization. EV fleet energy consumption analytics involves analyzing data from electric vehicle (EV) fleets to identify patterns and trends in energy usage. This analysis can help fleet managers optimize their EV usage, reduce energy consumption and operating costs, and improve overall fleet performance.

The first step in EV fleet energy consumption analytics is to collect data from the EVs themselves. This data can include information on energy consumption, charging behavior, battery health, and other factors that impact energy usage. This data can be collected through the use of telematics devices or other monitoring systems.

Once the data has been collected, it can be analyzed using various techniques, such as data visualization, statistical analysis, machine learning, and predictive modeling. These techniques can help identify patterns in energy usage, predict future energy demand, and develop more efficient charging and driving strategies.

For example, fleet managers can use energy consumption analytics to identify the most efficient charging schedules for their EVs, based on factors such as time of day, location, and energy prices. They can also use analytics to optimize route planning and driving behavior, to minimize energy consumption and extend the range of their EVs.

EV fleet energy consumption analytics is an important tool for optimizing the use of electric vehicles and reducing energy consumption in fleet operations. As EV adoption continues to grow, energy consumption analytics will become increasingly important in managing and optimizing the performance of EV fleets

Business Challenge

Companies face multiple challenges when attempting to operationalize EV fleets across various sites and trying to measure carbon offsets across various assets, from charging operations to scheduling to vehicle to grid.

A real-time dashboard that monitors energy demand for charging EV Fleets through cost efficient utility tariff rates provides actionable insights for IT and OT executives and other key stakeholders. It also predicts the required energy for the next day’s schedule (forecasting), as well as offers a path to offset carbon emissions.

Real-time energy management dashboard & notifications

Our Approach

There are multiple data sources used to generate the energy management dashboard and notification service. These include Hitachi’s Grid eMotion fleet management solution, the customer’s own vehicle data sources such as fleet telematics and vehicle information, as well as charging depot location, utility payments and operational data (e.g., maintenance , scheduling and trip planner).

Information gathered from these various data sources is ingested into the Hitachi Cloud in real-time to feed an AI-driven energy management dashboard that displays carbon offsets.

Data integration for sustainability outcomes

Solution

Hitachi’s AI based Commercial Fleet solution comes with pre-built data integration with Hitachi Grid-eMotion, customer vehicle data sources such as fleet telematics services, utility payment and operational data (maintenance, scheduling and trip planner).

The information gathered from various data sources are ingested into the AI/ML based energy calculator service in real-time to deliver carbon offsets.

In addition, the system generates insights in energy demand and supply, and site level aggregation of energy consumption.

Actionable insights for end-to-end operations and sustainability

Business Value

Provides actionable insights to the key stakeholders such as information technology and operational technology executives to measure a company’s carbon footprint, as well as a holistic view of their end-end operations.

The dashboard report provides fleet managers with the ability to optimize their energy cost and address demand, based on the future charging scheduling needs of their commercial EV fleets.

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