Abstract
This paper presents the design and real-time implementation of an electronic differential speed control system (EDSC) for a neighborhood electric vehicle (NEV) with a decentralized power train configuration. The EDSC supervises the desired speed variation of the drive motors of the vehicle at various turning trajectories. The core focus of this design is to reduce the system complexity, computation delay and design expenses with an aid of a newly proposed drive current balancing algorithm (DCBA). The embedded DCBA based EDSC allocates the necessary torque to each wheel solely depending on the motor current variables. Thus, it eliminates the necessities of typical feedback variables-steering and speed to control the EDSC. The developed system performance is being investigated in situ real time on-board experiment. Results in the context of response time, design simplicity and performance reveal the effectiveness of the proposed framework.
Highlights
Electric Vehicles (EV) have been garnering wide attention over traditional combustion engine based vehicles due to the growing concerns of continuously depleting fossil fuel and environmental safety [1]-[5]
In order to find out the effectiveness of the vehicle, another experiment has been conducted without implementing the Electronic Differential (ED) into the Neighborhood Electric Vehicle (NEV)
The study focused on development of ED based NEV and performance evaluation with a proactive drive current balancing algorithm (DCBA) control algorithm
Summary
Electric Vehicles (EV) have been garnering wide attention over traditional combustion engine based vehicles due to the growing concerns of continuously depleting fossil fuel and environmental safety [1]-[5]. Electronics and communication engineering from Tezpur University, Tezpur, India, independently equipped motor-wheels of the vehicle are an effective solution. Such configuration requires embedding of individual smaller motors to be mounted with each wheel. It provides potential advantages in terms of flexibility, controllability and responsiveness over typical design [11], [12]. The proposed method eliminates the requirement of steering wheel feedback and that of predefined geometry It does not require expensive sensors and high computation power thereby reduces the design expenses, system complexity and robustness. The results obtained from the simulation as well as the on-board validation are outlined and comprehensively discussed with comparison to the traditional steering feedback based system
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