Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
