Integrating Dynamic Limiting Mechanism in Electric Scooters to Mitigate Range Anxiety via SoC-Tracking Range-Enhancement Attachment (STRETCH)

Kamarudin, K.A.C. and Zulkifli, S.A.M. and Abro, G.E.M. (2024) Integrating Dynamic Limiting Mechanism in Electric Scooters to Mitigate Range Anxiety via SoC-Tracking Range-Enhancement Attachment (STRETCH). Communications in Computer and Information Science, 1911 C. pp. 466-482.

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Abstract

Electric vehicles face a remarkable challenge in the form of range anxiety, as their limited operational range per charge has hindered widespread adoption. This concern is further amplified by consumers� apprehensions about running out of battery and the scarcity of charging infrastructure, coupled with the time-consuming recharging process. Surmounting this barrier will not only revolutionize transportation but also empower individuals to embrace the sustainable future of electric mobility, transforming the way we move and live. This work develops a dynamic current-limiting mechanism for existing personal electric mobility (PEM) equipment such as electric scooters. Based on onboard battery state-of-charge (SoC) and pre-set limit levels, the throttle signal is bypassed by an added microcontroller (STRETCH) to reduce battery depletion and hence prolong the scooter's range. This study performs modeling and simulation of the e-scooter using MATLAB-Simulink, integrating the dynamic limiting algorithm. Simulation results are compared and validated with field test data of the enhanced e-scooter, using an FTDI serial adapter for serial communication with the user interface. The acquired data is meticulously analyzed to obtain crucial operating parameters, facilitating a comprehensive performance comparison between the real scooter and the simulation model. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Item Type: Article
Impact Factor: cited By 0; Conference of 22nd Asia Simulation Conference, AsiaSim 2023 ; Conference Date: 25 October 2023 Through 26 October 2023; Conference Code:303099
Uncontrolled Keywords: Battery management systems; Charging (batteries); Electric vehicles; MATLAB; Secondary batteries; User interfaces, Charging infrastructures; Dynamic limiting; E-scooter; Electric mobility; Electric scooters; Operational range; Personal electric mobility; Range anxieties; States of charges; Tracking range, Dynamics
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 11 Dec 2023 03:21
Last Modified: 11 Dec 2023 03:21
URI: http://scholars.utp.edu.my/id/eprint/38107

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