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Feasibility Analysis of a Hybrid CVT-Manual Transmission: A Comparative Performance Study Military Engineering Institute (IME)
- Format:
- Book
- Conference/Event
- Author/Creator:
- Baldi, Eduardo, author.
- Conference Name:
- SAE Brasil 2025 Congress (2025-10-07 : Sao Paolo, Brazil)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- Transmission systems play a crucial role in vehicle performance, efficiency, and adaptability. Conventional transmissions, such as Continuously Variable Transmissions (CVTs) and Manual Transmissions (MTs), each offer distinct advantagesCVTs provide smooth gear transitions and optimized fuel efficiency, whereas MTs deliver superior driver control, mechanical simplicity, durability, and high torque efficiency. This study explores the feasibility of integrating a dual-mode CVT-MT transmission into passenger vehicles to enhance driving dynamics and fuel efficiency. The proposed system uses the first gear to improve initial acceleration, a critical factor in urban driving, stop-and-go traffic, and high-load scenarios where CVTs struggle with torque delivery. After launch, the drivetrain transitions into CVT mode, leveraging its continuously adjustable gear ratios for efficiency and smooth power delivery. A simulation model based on MATLAB / Simulink will analyze the performance of the hybrid system against a conventional CVT, evaluating power efficiency, fuel consumption, mechanical reliability and driving experience. To ensure accuracy, data validation will compare simulation results with real vehicle data, refining parameters and improving analysis fidelity. By addressing the limitations of traditional transmissions, this research evaluates whether a CVT-MT hybrid can enhance acceleration, fuel economy, and the longevity of the drivetrain. If effective, this concept could influence future transmission designs, balancing performance and efficiency for everyday driving
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-36-0197
- Access Restriction:
- Restricted for use by site license
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