SIMULATION AND EXPERIMENT OF SOCESTIMATION ON ELECTRIC VEHICLE E-TRIKE
The development of E-trike as a battery-based electric vehicle has raised the need for simulation to predict the efficiency and energy consumption performance of E-trike. The simulation model is created based on numerical equations through a literature study of the quasistatic approach that appro...
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id-itb.:771702023-08-23T08:54:53ZSIMULATION AND EXPERIMENT OF SOCESTIMATION ON ELECTRIC VEHICLE E-TRIKE Hafiz, Farhan Indonesia Final Project E-trike, Simulation, Energy Consumption, Simulink, Electric Vehicle. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/77170 The development of E-trike as a battery-based electric vehicle has raised the need for simulation to predict the efficiency and energy consumption performance of E-trike. The simulation model is created based on numerical equations through a literature study of the quasistatic approach that approximates electric energy consumption based on input variables such as speed, acceleration, and road gradient. The simulation is conducted by modeling the E-trike vehicle using the Matlab Simulink application. The input speed data required for this simulation is obtained from speed measurements based on hall sensors and global positioning system (GPS) based applications. Meanwhile, the gradient data is obtained from direct measurements of incline using an inclinometer and GPS-based applications. The results of this simulation include energy consumption calculations and the state of charge (SOC) of the test vehicle. The simulation results will be compared with data from direct experimental results. Additionally, the experimental data will also be compared with simulations using regenerative braking intervals and simulations without regenerative braking intervals. Experiments on the E-trike are conducted by measuring the electrical parameters of the battery and inverter. The measurements are performed using a power analyzer HIOKI PW3390. By using the coulomb calculation method and current data from the power measurement instrument, the real SOC value can be obtained. From the simulation, the final estimated SOC value differs by 0.61% from the actual value. The difference in values appears to increase as the testing duration prolongs. On the other hand, the eror or inaccuracies in the gradient readings from GPS shift the final estimated SOC value by 0.56%. text |
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The development of E-trike as a battery-based electric vehicle has raised the need for
simulation to predict the efficiency and energy consumption performance of E-trike. The
simulation model is created based on numerical equations through a literature study of the
quasistatic approach that approximates electric energy consumption based on input variables
such as speed, acceleration, and road gradient.
The simulation is conducted by modeling the E-trike vehicle using the Matlab Simulink
application. The input speed data required for this simulation is obtained from speed
measurements based on hall sensors and global positioning system (GPS) based applications.
Meanwhile, the gradient data is obtained from direct measurements of incline using an
inclinometer and GPS-based applications. The results of this simulation include energy
consumption calculations and the state of charge (SOC) of the test vehicle. The simulation
results will be compared with data from direct experimental results. Additionally, the
experimental data will also be compared with simulations using regenerative braking
intervals and simulations without regenerative braking intervals.
Experiments on the E-trike are conducted by measuring the electrical parameters of the
battery and inverter. The measurements are performed using a power analyzer HIOKI
PW3390. By using the coulomb calculation method and current data from the power
measurement instrument, the real SOC value can be obtained.
From the simulation, the final estimated SOC value differs by 0.61% from the actual value.
The difference in values appears to increase as the testing duration prolongs. On the other
hand, the eror or inaccuracies in the gradient readings from GPS shift the final estimated SOC
value by 0.56%.
|
format |
Final Project |
author |
Hafiz, Farhan |
spellingShingle |
Hafiz, Farhan SIMULATION AND EXPERIMENT OF SOCESTIMATION ON ELECTRIC VEHICLE E-TRIKE |
author_facet |
Hafiz, Farhan |
author_sort |
Hafiz, Farhan |
title |
SIMULATION AND EXPERIMENT OF SOCESTIMATION ON ELECTRIC VEHICLE E-TRIKE |
title_short |
SIMULATION AND EXPERIMENT OF SOCESTIMATION ON ELECTRIC VEHICLE E-TRIKE |
title_full |
SIMULATION AND EXPERIMENT OF SOCESTIMATION ON ELECTRIC VEHICLE E-TRIKE |
title_fullStr |
SIMULATION AND EXPERIMENT OF SOCESTIMATION ON ELECTRIC VEHICLE E-TRIKE |
title_full_unstemmed |
SIMULATION AND EXPERIMENT OF SOCESTIMATION ON ELECTRIC VEHICLE E-TRIKE |
title_sort |
simulation and experiment of socestimation on electric vehicle e-trike |
url |
https://digilib.itb.ac.id/gdl/view/77170 |
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