Integrated EV Charging and Battery Management System for Urban Fleet Optimization

The client faces difficulties in balancing renewable energy generation with consumption, managing complex battery storage assets, and optimizing electric vehicle (EV) fleet charging given grid constraints. The lack of an integrated software platform hampers real-time decision-making, increases operational costs, and limits scalability. Additionally, existing infrastructure does not support dynamic load balancing or provide operators with real-time asset health insights, jeopardizing the transition to cleaner energy solutions and the deployment of large EV fleets.

A mid-sized utility company specializing in renewable energy solutions and electric infrastructure management, aiming to optimize energy storage, distribution, and EV fleet charging operations.

• Develop a scalable, cloud-based platform to precisely manage and optimize battery storage assets and EV charging operations.
• Enable real-time monitoring and control of onsite energy assets, including batteries and charging stations, with minimal manual intervention.
• Implement a dynamic load balancing mechanism to maximize renewable energy usage while preventing grid overstress.
• Integrate with multiple smart chargers using standard protocols to ensure compatibility and flexibility across hardware.
• Aggregate data on vehicle routes, driver behavior, and asset health to facilitate maintenance, operational efficiency, and energy-conscious driving practices.
• Support grid services operations such as frequency response and balancing services, enhancing the client's contribution to energy stability and revenue streams.

• A centralized control dashboard providing real-time visualizations of energy assets, grid load, and EV charging statuses.
• Automated, intelligent load management that optimally distributes energy from grid, onsite batteries, and renewable sources to EV chargers.
• Integration layer supporting multiple AC/DC smart chargers via a standard protocol (e.g., OCPP), adaptable to hardware variations.
• Hardware controllers with redundant offline capabilities ensuring continuous operation.
• Secure admin interfaces for asset health monitoring and manual control overrides when necessary.
• Data collection modules capturing vehicle routes, driver feedback, and operational metrics for continuous improvement.
• Support for grid ancillary services, enabling dispatch of stored energy for frequency regulation and balancing.

• Smart EV chargers supporting OCPP or similar protocols.
• Grid balancing and energy market dispatch systems.
• Vehicle telematics for route and driver data.
• Asset health sensors and monitoring hardware.

• System scalability to support an expanding fleet and growing energy assets.
• High availability with 99.9% uptime, including offline operation capabilities for critical hardware.
• Real-time data processing with latencies under 1 second for operational decisions.
• Robust security measures to protect sensitive asset and user data.
• Regulatory compliance for energy and grid service operations.

The implementation is expected to enhance energy utilization efficiency, reduce operational costs, and enable participation in energy markets, generating additional revenue streams. By optimizing the management of over 170 MW of battery storage and supporting large EV fleets, the project aims to significantly lower carbon emissions—targeting the removal of over 135,000 tons of CO2 annually—and promote the transition toward sustainable urban transportation and energy systems.