This work presents an optimal control strategy using Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) capabilities to ensure optimal energy management between two hybrid trucks for long-distance transport in a fleet. Via Vehicle-to-Infrastructure (V2I) exchange channels, this strategy enables Vehicle-to-Vehicle (V2V) energy sharing at a desired charging grid, station. All hybrid trucks reach their destination at a certain desired state of charge (SoC) of their batteries, while they are recharged and refueled cost optimal. Excess energy can be distributed through V2G in order to shave peaks and fill valleys of typical two-peak daily load curves avoiding price penalties charged by electricity suppliers for critical voltage drops. In this way, the associated travel costs and dynamically recuperated electrical energy can be economically redistributed within a fleet. In this study five DC charging systems with 50kW, 120kW, 350kW, 900kW and up to 4.5MW output power are considered. The efficiency, time, electrical range and cost advantages of the proposed novel “Grid Connected Battery Recharging and Refueling Driver Assistance System” are demonstrated using the plug-in hybrid powertrain simulation study H2020 IMPERIUM for heavy trucks.