Expediency Analysis of Clustering Algorithms for Electric Two-Wheeler Driving Cycle Development Under Indian Smart City Driving Conditions
The standard driving cycles (DCs) used to evaluate spark-ignition engine-based two-wheelers are inadequate for electric two-wheelers (E2Ws). Also, they fail to accurately represent the actual driving circumstances in specific areas, resulting in inaccuracies during the evaluation of performance. The...
Saved in:
| Main Authors: | Azhaganathan Gurusamy, Akshat Bokdia, Harsh Kumar, A. Radhika, Bragadeshwaran Ashok, Chellamuthu Gunavathi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10771735/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluating the impact of ambient temperature on energy consumption rate of electric two-wheeler using real-world driving data
by: N. Kumaresan, et al.
Published: (2024-12-01) -
Optimal Charging Algorithm Based on Receding Horizon Framework for Electric Two-Wheeler Charging Stations
by: Van Nguyen Ngoc, et al.
Published: (2025-01-01) -
Embracing Electric Two-Wheelers: A Transformative Shift in Consumer Adoption of Eco-Friendly Transportation Technology
by: Kulkarni Ameet V., et al.
Published: (2024-01-01) -
Capacity and market potential for local production and distribution of electric two-wheelers in Southeast Asia, focused on Thailand, Indonesia and Vietnam
by: Hyung Ju Kim, et al.
Published: (2025-02-01) -
A bibliometric review exploring the nexus between environmental sustainability and electric four-wheeler
by: V. Shunmathy, et al.
Published: (2025-03-01)