Development and Evaluation of a Battery Lifetime Extending Charging Algorithm for an Electric Vehicle Fleet

Electric vehicle (EV) lifetime strongly depends on the intensity of battery degradation. In this study simulation models, which include battery ageing mechanisms were used to benchmark these influences on total depreciation during one charging process. A nonlinear programming algorithm was used to optimize EV charging for a fleet. An energy price signal was included and the total operational costs for EV charging were minimized. It can be shown, that the interior point algorithm evaluates the optimal solution to charge every single vehicle to the necessary capacity for the operation and obeys the load restriction at the charging location. This is shown for a case study incorporating twentytwo EVs for delivery services.