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6 Route Planning The biggest problem today’s EVs is limited driving range and with that connected long charging time. The charging stations network is also not well built in Czech Republic especially there are only a few high-current charging stations. The charging stations network is week and yet there are differences based on their charging power. These facts have to be consider into account when planning route and there has to be done an algorithm which can produce optimal time results. On the beginning will be adumbrated the problem definition and how should work the algorithm with help of Google APIs. The graph problem will be described and what algorithm’s I use to search the best time route through stations. Because of Google API’s limitation there will be described how was made an offline charging stations database. I describe several route planning approaches in our algorithm and then I compare them all in several examples. 6.1 Problem Definition The idea of the algorithm is to find the path between origin and the destination through charging stations with respect the optimal time results. On each station may be or not the battery charged to the full capacity. The algorithm is divided into two parts. The first part is based on dynamic programming [Park, 2015] which finds the shortest time path through charging stations. In the second part of this algorithm is the founded path check with Google API. There is returned more accurate time result with consideration of actual traffic conditions taken into account. 6.2 Basic Idea of an Algorithm The strategy of route planning is designed with Google Distance API together. The Google API return route between origin and destination and the returned JSON object is including time and each step information. Because of Google API daily limitation I had to create database of charging stations and paths between them. If there is database between all charging stations and their paths, the Google servers don’t have to ask too many times on each route planning and the algorithm can run 20PDF Image | Driving Range Estimation and Trajectory Planning
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