/ where Fc Av2 1 t is the air density 123 kg/m cd aerodynamics = t $$ $ (. df 3), A v f 2 is the coefficient of drag of the electric scooter is the electric scooter frontal area,and is the quadratic of the electric scooter speed $ . Fg sina $ grad mass = where g a is the specific gravity 98 m/s is the grade of the road in degree ^h2 . FgCrr $ rolling resistance =masselectricscooter $ Age (Years) >65 0% 55-64 2% 45-54 12% Unverified 6% <18 0% 18-24 6% and . (5) eelectricscooter (4) , 2 (3) Fa ; a is the electric scooter acceleration Traction = inertial masselectricscooter $ / =+ +graderollingresistance FFaerodynamics FF Traction (1) (2) where C is the coefficient of rolling resistance of the electric scooter 0.01 rr ^h . Based on (1)-(5) and electric scooter engineering specifications, a Simulink model is created using the UDDS standard driving cycle as an input. Some of the modeling and simulation results are presented in Figure 5(b)-(d). Based on the modeling and simulation results in Figure 5, the motor required for the electric scooter should have a power of 3,500 W [see Figure 5(c)] and torque of 53 NM with a transmission ratio of 1:5 [Figure 5(d)]. The electric scooter could reach a maximum speed of 80 mi/h (128 km/h) with this motor. Furthermore, it could perform well to follow the ISO 13064-1 driving cycle in accelerations and de - celerations. The red and blue lines in Figure 5(a) are the performance target of the ISO 13064-1 driving cycle and the simulated electric scooter, respectively. The modeling and simulation results show that the electric drivetrain specification for the electric scooter is as follows. The motor Gender Female 2% 25-34 38% 35-44 36% Province Bali 2% Yogyakarta 4% Kalimantan 4% Sumatra 8% West Java and Banten 7% Central Java 12% East Java 21% Figure 3. Results of the potential customer survey. IEEE Electrification Magazine / MARCH 2022 69 East Indonesian 3% Jabodetabek 39% Others 6% Male 98% Reasons to Buy Level of Technology 24% Acquisition and Operational Cost 57% Performance 13%