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Fuel Efficiency Simulation Methodology for Commercial Vehicles: Approach to Generate Dynamic Duty Cycles for Simulation Mahindra and Mahindra, Limited
- Format:
- Book
- Conference/Event
- Author/Creator:
- SHENDGE, RAMAN, author.
- Conference Name:
- Symposium on International Automotive Technology (2021-09-29 : Pune, India)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2021
- Summary:
- Fuel efficiency is critical aspect for commercial vehicles as fuel is major part of operational costs. To complicate scenario further, fuel efficiency testing, unlike in passenger cars is more time consuming and laborious. Thus, to save on development cost and save time in actual testing, simulations plays crucial role. Typically, actual vehicle speed and gear usage is captured using reference vehicle in desired route and used it for simulation of target vehicle. Limitation to this approach is captured duty cycle is specific to powertrain and driver behavior of reference vehicle. Any change in powertrain or vehicle resistance or driver of target vehicle will alter duty cycle and hence duty cycle of reference vehicle is no more valid for simulation assessment. This paper demonstrates approach which uses combination of tools to address this challenge. Simulation approach proposed here have three parts. Part one processes captured duty cycle of reference vehicle and prepares road profiles. Second part contains establishing correlation of fuel efficiency and gear usage using powertrain information of reference vehicle. Whereas third part contains generating dynamic duty cycle of target vehicle for simulation using its powertrain information and driver type. This part considers transient behavior of powertrain and road profile to decide optimized gear position depending upon vehicle velocity. Established correlation of fuel efficiency simulated using this approach for reference vehicle is +/- 5% of test value and confirmation to actual duty cycle of gear usage is found to be minimum 80% on multiple commercial vehicles
- Notes:
- Vendor supplied data
- Publisher Number:
- 2021-26-0343
- Access Restriction:
- Restricted for use by site license
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