Sensitivity Analyses for Cross-Coupled Parameters in Automotive Powertrain Optimization

Othaganont, Pongpun; Assadian, Francis; Auger, Daniel J.

doi:10.3390/en7063733

Cited by 5 publications

(3 citation statements)

References 12 publications

(14 reference statements)

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“…Besides performing a LCA analysis some studies conduct also a detailed review on the cost of the vehicle powertrain components [3,31,32]. In addition to the environmental and financial aspects of vehicles and fuels, several studies complemented this analysis with optimization methods aiming to mitigate the transport impact [17,18,20,22,33].…”

Section: Environmental and Financial Burden Of Alternative Vehiclesmentioning

confidence: 99%

Taxi Fleet Renewal in Cities with Improved Hybrid Powertrains: Life Cycle and Sensitivity Analysis in Lisbon Case Study

2015

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Stringent emissions regulations in cities and the high amount of daily miles driven by taxi vehicles enforce the need to renew these fleets with more efficient and cleaner technologies. Hybrid vehicles are potential candidates due to their enhanced powertrain, and slower battery depletion and fewer lifetime issues, relative to full electric vehicles. This paper proposes a methodology to analyze the best theoretical hybrid powertrain candidate with maximum in-use efficiency, minimum life cycle greenhouse gas emissions, and minimum additional cost, for a Lisbon taxi fleet case study. A multi-objective genetic algorithm integrated with a vehicle simulator is used to achieve several trade-off optimal solutions for different driving patterns. Potential improvements in taxi carbon footprint are discussed as a function of its lifetime, urban/extra-urban driving and maintenance/fuel life cycle uncertainty. Hybrid powertrains reveal to be advantageous comparatively to the conventional vehicle, especially in urban conditions. Specifically optimized solutions could reduce in-use energy consumption by 43%-47% in urban driving, and 27%-34% in extra-urban driving conditions, and reduce life cycle emissions by 47%-49% and 34%-36% respectively, relative to the conventional taxi. A financial gain of 50 $/km/fleet in extra-urban and 226 $/km/fleet in urban routes could be achieved by replacing the taxi fleet with the optimal solutions. OPEN ACCESSEnergies 2015, 8 9510

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Section: Environmental and Financial Burden Of Alternative Vehiclesmentioning

confidence: 99%

Taxi Fleet Renewal in Cities with Improved Hybrid Powertrains: Life Cycle and Sensitivity Analysis in Lisbon Case Study

2015

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“…Models of this kind generally offer less fidelity than their forward-facing equivalents do but, as they do not require driver models or feedback, they are fast in execution. Backward-facing models are used extensively in the literature (see, for example, the papers by Hu et al 18 and Othaganont et al 19 ), and there are also approaches that combine backward-facing models and forward-facing models, using backward-facing models for coarse tuning and forward-facing models for fine tuning. 20,21 Having determined the approach to modelling, it is the necessary to determine an approach for optimisation.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimisation for battery electric vehicle powertrain topologies

Othaganont

Assadian

Auger

2016

Proceedings of the Institution of Mechanical Engineers, Part D:

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Electric vehicles are becoming more popular in the market. To be competitive, manufacturers need to produce vehicles with a low energy consumption, a good range and an acceptable driving performance. These are dependent on the choice of components and the topology in which they are used. In a conventional gasoline vehicle, the powertrain topology is constrained to a few well-understood layouts; these typically consist of a single engine driving one axle or both axles through a multi-ratio gearbox. With electric vehicles, there is more flexibility, and the design space is relatively unexplored. In this paper, we evaluate several different topologies as follows: a traditional topology using a single electric motor driving a single axle with a fixed gear ratio; a topology using separate motors for the front axle and the rear axle, each with its own fixed gear ratio; a topology using in-wheel motors on a single axle; a four-wheel-drive topology using in-wheel motors on both axes. Multi-objective optimisation techniques are used to find the optimal component sizing for a given requirement set and to investigate the trade-offs between the energy consumption, the powertrain cost and the acceleration performance. The paper concludes with a discussion of the relative merits of the different topologies and their applicability to real-world passenger cars.

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“…Othaganont, P. et al [23], achieved sensitivity analyses of an automotive powertrain. A method, based on formal optimization mathematics for second ordersensitivity analyses, was analytically developed.…”

Section: Sensitivity Analysis and Conventional Brakementioning

confidence: 99%

Sensitivity analysis and optimal design of conventional and magnnetorheological fluid brakes

Khafaji¹

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Mechanical and electrical brakes have dominated the braking industry for many years and will most likely continue to do so for the foreseeable future due to their low cost and adequate operating performance, wide range of applications, vehicle engineering, civil engineering, and biomedical engineering. Simple mechanical drum brake and magnetorheological (MR) fluid brake have presented in the current work. The main objective of this work is to increase braking torque, and to develop a new optimal design of MR fluid brake with better design and design control of the MR fluid design. To do so, four important steps have been accomplished. In the first step, a mathematical modeling of the conventional frictional brake and MR fluid brake has been developed to study and specify all design parameters. In the second step, a nondimensional, closedform analysis and a Taylor series expansion have used to examine the effects of perturbing dimensionless design parameters on the overall brakes performance. In the third step, two optimal designs for MR fluid brakes have been developed by taking advantage of sensitivity analysis and the design of experiments method also known as the Taguchi method. In the fourth step, controlling a MR fluid brake is performed by using two parallel PI controls for controlling the magnetic current and MR fluid thickness simultaneously. It was concluded that sensitivity analysis is a good method for identifying the parameters that have the greatest impact on brake performance and can be used as one method for the designer to obtain an optimal design. Four nondimensional design parameters were successfully used to describe the conventional frictional brake and seven nondimensional design parameters for MR fluid brake. Only two parameters for the conventional brake and five parameters for the MR fluid brake affect the performance and the others can be neglected. Two new designs for the MR fluid brake are presented and shown to be very simple in design, low in cost by removing a lot of additional auxiliaries for the frictional brake, and easy for control. By simultaneously controlling the MR fluid thickness and the electric current, a large range of brake torque is achieved without increasing the radial envelop for the brake, and saturation conditions in one controller are compensated for by the other controller. High angular velocities of the brake are primarily controlled by increasing the MR fluid thickness, while low angular velocities are primarily controlled by increasing the electric current. Good transient responses for regulating a constant speed (high, moderate, and low), and good stability while seeking to track a sinusoidal input have been achieved. In summary, the proposed control system for the MR fluid brake has demonstrated good controllability for the MR fluid brake.

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Sensitivity Analyses for Cross-Coupled Parameters in Automotive Powertrain Optimization

Cited by 5 publications

References 12 publications

Taxi Fleet Renewal in Cities with Improved Hybrid Powertrains: Life Cycle and Sensitivity Analysis in Lisbon Case Study

Taxi Fleet Renewal in Cities with Improved Hybrid Powertrains: Life Cycle and Sensitivity Analysis in Lisbon Case Study

Multi-objective optimisation for battery electric vehicle powertrain topologies

Sensitivity analysis and optimal design of conventional and magnnetorheological fluid brakes

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