Optimizing the Modeling Effort for Hybrid Vehicles

Jagadish, C.A.; Sadhu, Sayan; Patil, Chinmaya

doi:10.4271/2012-01-2204

SAE Technical Paper Series 2012

DOI: 10.4271/2012-01-2204

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Optimizing the Modeling Effort for Hybrid Vehicles

C.A. Jagadish

Sayan Sadhu

Chinmaya Patil

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“…Recovery from Discharge Service (below 50%) demonstrates the ability of the battery to be continually recharged from a discharged state below 50% of its full capacity without significant loss of capacity or life cycles. 8. Quickest Recharge Time @ 14.1 V or 14.5 V shows theefficiency of a battery's re-charge ability allowing for shorter charging times.…”

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Benchmarking, Target setting & Evaluation of a Belt Driven Starter Generator (BSG) for 2.0 L Diesel Engine

2017

IJRTER

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in the era of today's polluted cities, hybrid vehicles have become necessary. They help in cutting down emissions and also improve fuel economy. Higher cost limits commercial viability of hybrid vehicles. Hence, a large number of OEM's are coming up with Mild Hybrid vehicles. This paper explains about one such mild hybrid application, a 12V BSG (Belt Driven starter generator) which works as a smart motor-alternator device. The BSG assists the engine while acceleration, enables start-stop function and also converts kinetic energy of vehicle into electricity during deceleration. This paper focuses onBenchmarking and Target setting of a Belt Driven Starter Generator (BSG) for FIAT 2.0 L Multijet Diesel Engine.

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confidence: 99%

Benchmarking, Target setting & Evaluation of a Belt Driven Starter Generator (BSG) for 2.0 L Diesel Engine

2017

IJRTER

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Optimizing the Modeling Effort for Hybrid Vehicles

Cited by 1 publication

References 5 publications

Benchmarking, Target setting & Evaluation of a Belt Driven Starter Generator (BSG) for 2.0 L Diesel Engine

Benchmarking, Target setting & Evaluation of a Belt Driven Starter Generator (BSG) for 2.0 L Diesel Engine

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