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...

Full description

Saved in:
Bibliographic Details
Main Author: Hafiz, Farhan
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/77170
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary: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%.