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Electric Scooter Battery Management and Battery Swapping using Robotic Arm
Daoud, Abeer Mazen
Daoud, Abeer Mazen
Date
2024-03
Author
Advisor
Type
Thesis
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Description
A Master of Science thesis in Mechatronics Engineering by Abeer Mazen Daoud entitled, “Electric Scooter Battery Management and Battery Swapping using Robotic Arm”, submitted in March 2024. Thesis advisor is Dr. Lotfi Romdhane and thesis co-advisor is Dr. Habib Ur Rehman. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
Abstract
This thesis is motivated by the current long charging times for electric vehicles powered by lithium-ion batteries. To overcome this issue, battery swapping stations have emerged as an efficient alternative to traditional charging stations. This research focuses specifically on the growing popularity of electric scooters (e-scooters) and their need for frequent battery recharging, which limits their operational range. In response, a proposed solution that employs a robotic arm to execute battery swaps without human intervention, is proposed. This system incorporates a battery management system that constantly monitors the battery’s state of charge (SOC) and temperature, and initiates swaps under predefined conditions. A vision system is utilized to detect the battery compartment, compensating for any tilt in the parked e-scooter to ensure accurate alignment, thereby enabling the robotic arm to efficiently plan and execute the battery swap. This system requires minimal modifications to existing e-scooter designs by incorporating a specifically designed battery compartment, offers significant improvements over manual swapping methods. Furthermore, the automation extends to potential upgrades that include the integration of an Automated Guided Vehicle (AGV), transforming the system into a self-sufficient robot capable of navigating and performing battery swaps autonomously.