Efficient EV Fleet Energy Management
AI-powered energy management for electric vehicle fleets. Cut charging costs, maximize renewables, optimize uptime.
One depot, one day, every asset on the connection
The inputs behind every decision above. The battery fills while power is cheap, solar carries the middle of the day, and at the evening peak the vehicles feed the depot instead of drawing from it.
A 60 kW grid connection running 12 charge points. Solar and the battery cover what the connection cannot, the chargers take whatever headroom is left, and the site never exceeds its limit. See how the product does it
While charging an EV fleet is generally more cost-effective than traditional vehicles, electricity prices are highly variable and can reduce total savings. Additionally, exceeding local grid power limits results in additional costs and unavailable vehicles. Without charging optimization and real-time dynamic load management, your new fleet can be nearly as costly as your old one.
While EVs don't pollute the atmosphere with CO2, they aren't truly green if their electricity comes from fossil-fuel power plants. The only way to ensure your EV fleet is genuinely sustainable is by maximizing renewable energy use for charging, which can be challenging to manage for large facilities.
Current energy management solutions often provide basic load management, resulting in inaccurate scheduling and potential blackouts on site, directly affecting your company's operations. These systems struggle as your EV fleet grows, causing significant future challenges without predictive algorithms and advanced energy management.
Managing your EV fleet requires contracts with multiple solution providers to achieve a comprehensive management package, involving costly and time-consuming integrations. With a lack of hardware-agnostic, all-in-one solutions, fleet owners face complex and fragmented management systems.
Learn About Our Unique Solution
We lead in advanced energy management, providing you with an all-in-one solution to manage your EV fleet and business energy requirements.
Our predictive algorithms optimize dynamic and time-of-use tariffs to charge vehicles when electricity costs are at their lowest. Combine this with solar energy generation and stand-alone batteries on-site to save up to 70% on charging costs, all using a single software solution.
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Electricity prices fluctuate due to a changing energy profile. High green energy generation results in low prices due to surplus supply. By charging at these times, you are powering your EV fleet with green energy and helping to decarbonize the energy sector.
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We can integrate our all-in-one energy management solution into your existing systems via API. We're software experts, cloud-based, and minimize the use of new hardware, reducing fleet costs.
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By optimizing the charging schedule using your vehicle fleet's mobility data and expected usage, we can charge your vehicles to the exact amount required, ensuring that your EV fleet is ready to go when needed the most.
Learn More ›Smaller EV fleets usually require basic load management. However, as the fleet size increases and the strain on the local grid grows, more advanced energy management solutions that leverage mobility data are required. Using our predictive energy management software, we optimize all components of your energy system in real-time, ensuring maximum accuracy, minimized blackout risks, and lower costs.
We optimize dynamic tariffs, building load, solar, and stand-alone batteries, providing a complete energy management solution for EV fleets. Furthermore, we use mobility data to regulate charging and extend battery lifetime, reducing the TCO of your new EV vehicles.
We use AI-powered optimization algorithms to predict the perfect charging schedule and energy usage patterns of your facility. By integrating mobility data and using APIs, we seamlessly connect to all your existing systems via the cloud, with no new hardware required.
Dynamic tariffs change regularly throughout the day based on the price of the day-ahead electricity markets. By using mobility data with our energy management software, we schedule vehicle charging when dynamic tariff prices are lowest, resulting in even greater savings potential.
Our electrification configurator analyzes existing fleet data, including mobility data, to create electrification scenarios using currently available EVs, providing you with detailed information on the costs, savings, and environmental benefits of your new EV fleet. You then decide if an EV fleet is worth the investment for your company!
RiDERgy was selected to take part in SQM Lithium Ventures' Electromobility Challenge, a corporate acceleration programme exploring how our energy management software can support the electrification of mining and logistics fleets.
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As part of the prototype club competition, RiDERgy spoke to the APCOA team about integrating our advanced energy management into their new Urban Hub projects for last-mile fleets!
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Our CEO Claudio Geyken offered key insights on the current state of bidirectional charging in Germany, and what we need to do to make it widespread.
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Recently, we spoke to the major players in the e-mobility space in Berlin. There's a clear need for advanced energy management, so we're looking forward to continuing these partnership conversations.
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AI Campus Founders is an accelerator programme funded by Dieter Schwarz of Schwarz Group. We're proud to be working with Campus Founders to further refine our optimization algorithms and support Schwarz Group with their electrification.
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In this exclusive interview, Marcel Dacaret Roman, Energy Manager at GLS Germany, shares insights into fleet electrification, energy management strategies, and the challenges of transitioning to sustainable logistics. Learn how GLS is driving efficiency, smart charging, and renewable energy integration across its operations.
Read InterviewRiDERgy has been selected to join the Smart Mobility Accelerator, backed by Drive TLV, mobilityXlab, STARTUP AUTOBAHN powered by Plug and Play, and EIT Urban Mobility.
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Our Chief Data Scientist and Co-Founder, Aneesh Mohan, travelled to Sønderborg in Denmark to present our advanced energy management solution!
RiDERgy is proud to be certified by prototype.club, recognizing our commitment to innovation, excellence, and reliability. This certification highlights our team's dedication to delivering our advanced energy management solutions!
Our CEO Claudio Geyken spoke to DIOTIMES about why smart charging is becoming critical infrastructure and the pivotal role EV fleets play in the global energy transition.
RiDERgy was shortlisted in the 'Outstanding Contribution to the Earth' category in the DACH region in 2023. The Digital Revolution Awards recognise startups key to a successful energy transition, so we are proud to be taking part!
We presented our advanced energy management software as one of four pitching startups at the Berlin Greentech Festival, where a lot of innovative startups and established corporates discussed how to best tackle the energy transition.
We are bringing our expertise to BdKEP, an established organisation in the parcel and logistics industry! Looking forward to working together to accelerate the electrification of this industry by lowering EV fleet charging costs using our software.
We speak to the Baloise team alongside Mobilyze about our product and the importance of smart mobility in the future, both for Baloise and other large corporates.
We're proud to have participated in the prestigious TotalEnergies On Batch #4 accelerator, where we'll be working with TotalEnergies to optimize their EV fleet and progress the energy transition in the EU.
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What is dynamic charging and how can it help fleet owners save?
Read More › As some of the first sectors to fully embrace the EV transition, efficient electrification is crucial!
Read More › Some concepts mean different things to different people. We explain what it actually is!
Read More ›A 30-minute demo with our energy team.
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