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Route Planning More Accurate Route Planning Figure 6.6: Route planning with 3 different states of charge. D = number of stations in driving range distance from destination V = number of possible vertices (stations) E = (n∗S)+(V ∗nn)+(n∗D) With greater asymptotic complexity I had to use other algorithm approach because the speed of Floyd-Warshall is not fast enough for this complexity if were considered more than 65 possible stations in the Czech Republic and 3 states of charge on each station. The best algorithm I can use is already described Dijkstra algorithm. For best results I use priority queue to get the path fast. 6.8.1 More Diversified State of Charge For more accurate solution I tried to increase the number of states of charge of the battery. The minimum state of charge is defined as 15 percent. We have experimented with different settings and in conclusion, I use following set of states of charge: SoC = {0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1} The value is multiplied with 100 to get value in percent. 31PDF Image | Driving Range Estimation and Trajectory Planning
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