scholarly journals TC48: A low-cost 48 V integrated drive for mild hybrid electric vehicles

2019 ◽  
Vol 2019 (17) ◽  
pp. 4590-4594 ◽  
Author(s):  
Dave Winterborne ◽  
Muez Shiref ◽  
Stuart Snow ◽  
Volker Pickert
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Low Cost ◽  
Hybrid Electric ◽  
Mild Hybrid

A Method for Battery Sizing in Parallel P4 Mild Hybrid Electric Vehicles

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Luca Castellazzi ◽  
Sanjarbek Ruzimov ◽  
Angelo Bonfitto ◽  
Andrea Tonoli ◽  
Nicola Amati
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Hybrid Electric ◽  
Mild Hybrid

Analysis of Current Hybrid-Electric Automobile Drivetrains and Proposal of an Alternative Powertrain

2020 ◽  
Author(s):  
Andrew Ahn ◽  
Thomas S. Welles ◽  
Benjamin Akih-Kumgeh
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Internal Combustion Engines ◽  
Hybrid Electric Vehicles ◽  
Global Climate ◽  
Low Cost ◽  
Fuel Efficiency ◽  
Combustion Engines ◽  
Hybrid Electric ◽  
Hybrid Configuration

Abstract Byproducts of fossil fuel combustion contribute to negative changes in the global climate. Specifically, emissions from automobiles are a major source of greenhouse gas pollution. Efforts to minimize these harmful emissions have led to the development and sustained improvement of hybrid drivetrains in automobiles. Despite many advancements, however, hybrid systems still face substantial challenges which bear on their practicality, performance, and competitive disadvantage in view of the low cost of today’s traditional internal combustion engines. These imperfections notwithstanding, hybrid electric vehicles have the potential to play significant roles in the future as cleaner transportation solutions. Actualization of this potential will depend on the ability of hybrid-electric vehicles to minimize their disadvantages while increasing their positive features relative to traditional combustion engines. This research investigates current hybrid electric architectures in automobiles with the aim of suggesting an alternative, more efficient hybrid configuration that utilizes current technology. This is completed by utilizing an iterative design process to compare how various components of existing hybrids can be combined and/or improved to develop a single, efficient and cohesive system that performs comparably to or surpasses existing ones in fuel efficiency and low emissions in all driving conditions. A critical and comparative analysis is provided based on current hybrid-electric vehicle architectures as well as a plausible alternative.

scholarly journals Social and municipal influences on intention to purchase electric and hybrid electric vehicles in London Ontario, CA

2021 ◽  
Vol 2021 ◽  
pp. 69-88
Author(s):  
Jordan Fuller ◽  
Jamie Baxter ◽  
Jamie Skimming
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Low Cost ◽  
Low Carbon ◽  
Municipal Governments ◽  
Intent To Purchase ◽  
Intention To Purchase ◽  
The Social ◽  
Hybrid Electric ◽  
Vehicle Purchase

We conducted a case study in London, Ontario to identify factors that influence decisions to purchase low carbon vehicles including what role municipal governments might play in encouraging low carbon vehicle purchase decisions. As part of a city-university partnership, this study reports (n = 257) results from a mail-out survey.  We test mainly whether social influences and mechanisms under municipal control predict intent to purchase electric vehicles (EV) and hybrid electric vehicles (HEV).  Both proximal social influencers (family and friends) (.179**, .393**) and distal social influencers (.219**, .142*) predict intent to purchase EV and HEV respectively.  City information sessions (.161** EV) and City promotion (.141* HEV) significantly influence intentions, while City-provided EV parking and charging are not. While municipalities may find other areas with greater impact on GHG reductions, the findings support promoting the social aspects of EV and HEV purchasing and providing relatively low-cost promotion/events.

scholarly journals Fuel economy improvement and emission reduction of 48 V mild hybrid electric vehicles with P0, P1, and P2 architectures with lithium battery cell experimental data

2021 ◽  
Vol 13 (10) ◽  
pp. 168781402110360
Author(s):  
Yiqun Liu ◽  
Y Gene Liao ◽  
Ming-Chia Lai
Keyword(s):  
Experimental Data ◽  
Electric Vehicles ◽  
Fuel Economy ◽  
Emission Reduction ◽  
Hybrid Electric Vehicles ◽  
Simulation Software ◽  
Hybrid Powertrain ◽  
Battery Cell ◽  
Hybrid Electric ◽  
Mild Hybrid

This paper intends to provide design selections of hybrid powertrain architectures in 48 V mild hybrid electric vehicles. Based on the location of the electric machine in the driveline, the hybrid powertrain architectures can be categorized into five groups, P0, P1, P2, P3, and P4. This paper uses simulation software to investigate the fuel economy improvements and emission reduction of 48 V mild hybrid electric vehicles with P0, P1, and P2 architectures. A baseline conventional and a 12 V start/stop vehicle models based on the production vehicle are built for comparison. The 48 V battery pack model is based on experimental data including open-circuit voltage and internal resistance of a 20 Ah lithium polymer battery cell. Four standard driving cycles are used to assess the fuel economy and emissions of the vehicle models. With features of engine idle elimination, electric power assist, and regenerative braking, the 48 V P0 and P1 respectively gains average 13.5% and 15.5% simulated fuel economy compared to baseline vehicle. The 48 V P2 enables feature of electric launch/driving and improves the fuel economy by average 18.5% better than baseline vehicle. The 48 V mild hybrid system seems to be one of the promising techniques to meet future fuel economy standards and emission regulations.

Modeling and Simulation for Super-Mild Hybrid Electric Vehicles

2013 ◽  
Vol 333-335 ◽  
pp. 2072-2075
Author(s):  
Jian Fei Shi ◽  
Bo Jun Zhang ◽  
Yu Wang
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Model Development ◽  
Vehicle Control ◽  
Transmission System ◽  
System Model ◽  
Simulation Results ◽  
Hybrid Electric ◽  
Mild Hybrid

Analysis the super-mild hybrid electric vehicle and its transmission system, the transmission system model of low-gear is established through bond graph. Establish vehicle control simulation model, development of low-gear control strategy to simulation. The simulation results show that the fuel economy and emission performance are improved.

Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles

2021 ◽  
Author(s):  
Shailesh Hegde ◽  
Angelo Bonfitto ◽  
Hadi Rahmeh ◽  
Nicola Amati ◽  
Andrea Tonoli
Keyword(s):  
Electric Vehicles ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Shooting Method ◽  
Hybrid Electric Vehicles ◽  
Optimal Solution ◽  
Pollutant Emissions ◽  
Hybrid Electric ◽  
Mild Hybrid ◽  
Selection Of

Abstract The increasing stringent emissions regulation over the years have shifted the focus of automotive industry towards more efficient fuel economy solutions. One such solution is Hybrid electric architecture, which is able to improve the fuel economy and consequently cutting down emissions. A well known control strategy to solve optimization problem for energy management of Hybrid electric vehicles is ECMS (Equivalent Consumption Minimization Strategy). Finding the best control parameters (equivalence factors) of this strategy may become quite involved. This paper proposes a method for the selection of the optimal equivalence factors, for charging and discharging, by applying genetic algorithm in the case of a P0 mild hybrid electric vehicle. This method is a systematic and deterministic way to guarantee an optimal solution with respect to the trial and error method. The proposed ECMS is compared to a technique available in literature, known as the shooting method, which relies only on one equivalence factor for discharging. It is demonstrated that the performance in terms of pollutant emissions are comparable. However, ECMS with GA always guarantees an optimal solution even in the case of heavy accessory load, when shooting method is not valid anymore, as it does not guarantee a charge sustaining condition.

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