Sensitivity Analysis of Electric Energy Consumption in Battery Electric Vehicles with Different Electric Motors

Abstract

In the last decade, a number of research works in electrified vehicles have been devoted to the analysis of the electric consumption of battery electric vehicles and the evaluation of the main influencing factors. The literature analysis reveals that the electric motor size, efficiency, and driving condition substantially affect the electric energy stored in the vehicle battery. This paper studies the degree of sensitivity of energy consumption to electric motor size and to its efficiency map characteristics. In order to accomplish this task, three electric motors whose parameters are re-scaled to fit the maximum power torque and speed with different efficiency maps are simulated by installing them on two commercially available battery electric vehicles. This allows for isolating the influence of the efficiency map on electricity consumption. The original characteristics of the motors are then used to evaluate the influence on the electricity consumption of both the size and the efficiency characteristics. The results of the simulation revealed that the influences of the efficiency map and the electric motor size can be around 8–10% and 2–11%, respectively. When both factors are taken into account, the overall difference in electricity consumption can be around 10–21%.

Specific features of improving automobile road complex of the Republic of Uzbekistan

“…In order to ensure that roads meet the requirements of modern and future road traffic, it will be necessary to further increase capital investments, including investments. Rational, scientifically substantiated spending of these investments is an important national economic task [15,[16][17][18][19][20][21][22][23][24][25][26].…”

Development of methods for calculating thermal conductivity of gas condensates-alternative motor fuels

“…where ρ1 and ρ2 are the density of the oil product at temperatures T1 and T2 The accuracy of determining β depends on the selected temperature range and the error in determining ρ1 and ρ2, which should be quite high, on the order of ±0.05-0.1% [5]. To process experimental data on the thermal conductivity of gas condensates using the method under consideration, experimental data on the density of gas condensates in Central Asia [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26], which were measured according to the author's estimate with a maximum error of ±0.1%, were used. The proposed empirical equations for calculating λ of heavy petroleum products, obtained on the basis of the correlation between thermal conductivity and complexes and in the temperature range −20...150°С, give an error of no more than 8%.…”

Modeling, Simulation and Control Strategy Optimization of Fuel Cell Hybrid Electric Vehicle

“…An AC synchronous motor with a maximum power of 113 kW and maximum torque of 335 Nm is used in the 2014 Toyota Mirai FCHEV [34]. Due to the unavailability of this motor efficiency map, a similar motor with almost the same peak power and torque is considered, specifically, a YASA P400 R SERIES AC synchronous motor's efficiency map [35] is used, and the parameters are re-scaled to fit the peak torque and speed [36]. The final representation of the efficiency map and torque curve of the electric machine is illustrated in Figure 2.…”