Economy, Comfort and Performance Analysis of Hybrid Vehicle with Multimode Gear Shift Control
Abstract
To minimize the harmful emissions from engine exhaust and to enhance the vehicle performance, comfort and economy, the hybrid vehicle with multi-mode gear shift control system was modeled using AMESim simulation tool. The developed model includes gearbox controller, proportional Integral controllers for electric motor and internal combustion engine for smooth gear shift events, better acceleration with controlled fuel/power consumption, comfort and drivability. The main objective is to evaluate the influence of the dog clutch disturbances on vehicle comfort, vehicle acceleration performance and the fuel consumption. From the simulation results, the performance mode exhibits the highest and most frequent power steps with 30% higher average power demand than economy mode, and 15% higher than comfort mode. The performance mode consumes 8.8 seconds to reach the vehicle speed from 0-100 km/h, showing around 40% and 20% enhancements compared to economy mode and comfort mode respectively. The economy mode consumes 12 seconds of time to reach the vehicle speed range from 80-120 km/h, and then it was reduced to 5.7 and 6 seconds during comfort and performance modes. The fuel consumption was increased from 216.8 g/kWh to 245.6 g/kWh when moving from economy mode to comfort mode, then increased to 297.5 g/kWh during performance mode. Overall, the performance mode promotes enhanced performance acceleration metrics with increased fuel consumption and reduced comfort. The economy mode showed significant improvement in fuel consumption, acceleration peaks and comfort gear shifting events. The comfort mode strongly demonstrates the balanced efficiency and drivability with rapid gear shifting.
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Supporting Institution
Thanks
References
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Details
Primary Language
English
Subjects
Hybrid and Electric Vehicles and Powertrains, Mechanical Vibrations and Noise, Vehicle Technique and Dynamics
Journal Section
Research Article
Authors
Publication Date
May 20, 2026
Submission Date
January 3, 2026
Acceptance Date
May 18, 2026
Published in Issue
Year 2026 Volume: 6 Number: 3