Electrifying fleets, simplified.
OptEV was built because the future of transportation shouldn't be stalled by grid limits and confusing energy tariffs. We provide the intelligence to make fleet electrification profitable and seamless.
Under the Hood
Mixed-Integer Linear Programming
Binary variables handle charger assignments and jockeying events, while continuous variables manage power rates and battery state-of-charge — solved to guaranteed optimality.
Time-of-Use Arbitrage
The optimizer schedules charging during price valleys in the day-ahead energy market, shifting load away from expensive peak hours.
Dinkelbach's Algorithm
For investment analysis, we use Dinkelbach's method to solve fractional programming — maximizing the ratio of annual savings to capital expenditure.
Peak Demand Management
Our model penalizes peak violations and optimally staggers charging to stay within grid capacity limits, reducing demand charges.
Optimization Pipeline
Fleet Scheduling
Investment Analysis
