BOVLABS

Problem

Companies converting their fleet to EVs are facing the following challenges: High Energy Costs for Charging Fleets: EV fleets require significant energy, leading to high electricity bills, especially during peak demand periods when rates are elevated. Without optimization, charging can strain operational budgets. Companies often lack the infrastructure to leverage on-site renewable energy or storage, increasing reliance on expensive grid power. Operational Inefficiencies in Fleet Management: Coordinating charging schedules for large fleets is complex, often resulting in vehicle downtime, long wait times at chargers, or inefficient route planning. Real-time visibility into battery status, charger availability and optimal charging locations is often limited, leading to logistical bottlenecks. Grid Impact and Infrastructure Costs: Charging large EV fleets can overload local grids, especially during peak hours, potentially requiring costly upgrades to transformers or grid connections. Companies may face penalties for exceeding demand thresholds or struggle to integrate charging with grid constraints.

Solution

Bovlabs is a software platform offering the following services: Behind-the-meter, the solution co-optimize the energy use with local assets like solar or batteries. Smart charging algorithms reduce energy bills through auto-consumption (including V2B), peak shaving, and dynamic pricing, while respecting each vehicle’s mobility needs. Front-of-the-meter, smart charging and V2G capabilities provide flexibility services to the grid such as load modulation and energy re-injection, turning EV fleets into revenue-generating energy assets. On the mobility side, our platform streamlines EV fleet operations, providing charging session booking shorten waiting time for charging, and route optimization providing optimal charging stops based on real-time battery status, charger availability, and energy prices along the route. Finally the platform tracks and certifies the renewable origin of charging energy, aligning with ESG goals and carbon reporting requirements.

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