# An Efficient GPS Algorithm for Maximizing Electric Vehicle Range
## 4 Results
### Real-Life Experiment  
Case 4: Real-Life Validation for Results  
In this case, a validation of the MATLAB Simulink model is carried out in real life using two different Volkswagen models. The first one is Volkswagen ID3 Pure, while the second one is Volkswagen E-Lavida to compare between the results taken from the built model to the real energy consumed in a real trip. The selected journey was from the Arab Academy of Science and Technology in Smart Village, Egypt until MSA University in 6 th of October City. Google Maps suggested three routes. The main suggested route by Google  
Figure 13: (a) Route 2 Driving Cycle for ID3 Volkswagen. (b) SOC\(\%\) for the energy consumed in Route 2. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Route** & **Route 1** & **Route 2** \\ \hline Journey Time & 1 h, 4 min & 1 h, 8 min \\ \hline Energy Consumed & 23.4 kwh & 12.6 kwh \\ \hline Charging Time (7 kw Charger) & 3 h, 20 min & 1 h, 48 min \\ \hline Total Time & 4 h, 24 min & 2 h, 56 min \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Summary of data for two routes with total time for the journey. Maps was taken as the real test, as shown in Figure 14, which is the distance and time of the journey on Google Maps. The total distance covered will be 24.3 km in 30 min. The driving cycle of the selected trip is shown in Figure 15a and the inclination of the road is represented in Figure 15b. This shows that the starting point elevation is 72 m above sea level while the ending point elevation is 207 m, and these inclinations can easily alter the energy consumed by the vehicle on the selected route. Also, the results of the simulation are carried out for the two vehicle models. As shown in the results of this simulation in Figure 16a, the SOC% decreased from 100% to 92% approximately, which means that the energy consumed in this journey is 3.55 kWh for the ID3 vehicle while 2.88 kWh for E-Lavida as shown in Figure 16b. Now, it is time to validate these data and the results in real life. The results and a full comparison between energy consumption are shown in Table 6. From the data plotted, a deduction can be made wherein for the ID3 there is a difference in the energy consumed by the model and in real life about 1.4%, which is somehow a reasonable value. As for the E-Lavida, the difference is approximately about 4.1%. In Figure 17a,b, the energy consumed for the Volkswagen E-Lavida is shown as follows: In (a), the percentage was at 100% before the journey began, then at (b), the percentage dropped to 90% which means that energy consumed is about 3 kwh as shown in Table 6. While Figure 18a,b shows the percentage difference between the start and the end of the journey for the Volkswagen ID3 and how the battery dropped from 100% to 92%. Also, in Figure 18c, it is shown that the distance covered and time are the same as in the simulation and the same as Google Maps suggested, knowing that this trip started at 4:08 p.m. on 30 April 2024. Furthermore, the figure shows the energy consumption  
Figure 14: Google Maps suggestion for Case 4.  
as 14.8 kWh/100 km, which means that the energy consumed throughout this journey is 3.6 kWh as mentioned earlier. Figure 16: _Cont._  
Figure 15: (a) Driving Cycle for Case 4. (b) Inclinations in the route selected for Case 4 [46]. Figure 16: (**a**) SOC% for the energy consumed in Route 1 by Volkswagen ID3. (**b**) SOC% for the energy consumed in Route 1 by Volkswagen E-Lavida.