Multi-Objective Optimal Design of Parallel Plug-In Hybrid Powertrain Configurations with Respect to Fuel Consumption and Driving Performance

Boehme, Thomas J.; Rothschuh, Matthias; Frank, Benjamin; Schultalbers, Matthias; Schori, Markus; Jeinsch, Torsten

doi:10.4271/2014-01-1158

Cited by 7 publications

(4 citation statements)

References 16 publications

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“…A simplified problem can be obtained assuming that the transmission gear ratio domain is continuous; in practice, this is only true when the vehicle is equipped with a continuously variable transmission. Even when this is not true, one can get a suboptimal solution by rounding the optimal gear ratio to the nearest available value [66].…”

Section: Literature Reviewmentioning

confidence: 99%

Control of connected and automated vehicles: State of the art and future challenges

Guanetti

Kim

Borrelli

2018

Annual Reviews in Control

529

260

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Autonomous driving technology pledges safety, convenience, and energy efficiency. Challenges include the unknown intentions of other road users: communication between vehicles and with the road infrastructure is a possible approach to enhance awareness and enable cooperation. Connected and automated vehicles (CAVs) have the potential to disrupt mobility, extending what is possible with driving automation and connectivity alone. Applications include real-time control and planning with increased awareness, routing with micro-scale traffic information, coordinated platooning using traffic signals information, eco-mobility on demand with guaranteed parking. This paper introduces a control and planning architecture for CAVs, and surveys the state of the art on each functional block therein; the main focus is on techniques to improve energy efficiency. We provide an overview of existing algorithms and their mutual interactions, we present promising optimization-based approaches to CAVs control and identify future challenges.

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Section: Literature Reviewmentioning

confidence: 99%

Control of connected and automated vehicles: State of the art and future challenges

Guanetti

Kim

Borrelli

2018

Annual Reviews in Control

529

260

View full text Add to dashboard Cite

show abstract

“…The GA with an optimal Pareto result like MOGA can be used to resolve the multi-objective optimization problems. A MOGA was applied to design parameters with respect to fuel consumption, driving cycle performance [151], and operating cost [152], [153]. The fuzzy clustering condition with GA is applied to reduce the computational effort and improve efficiency [72] and electric-assist control strategy (EACS) to curtail fuel utilization and emission, with maintaining the vehicle performance requirement [154].…”

Section: Multi-objective Genetic Algorithm(moga)mentioning

confidence: 99%

“…GA [141], [122], [142], [143], [144], [150] [145], [146], [147], [148], [149],  Has strong capability of global search  Has a strong universality  Has weak capability of local search. MOGA [72], [151], [152], [153], [154], [155], [156], PSO [157], [158], [159], [160], [161] [162], [163], [164], [165], [166], [167]  Easy to understand and implement  Has a stronger capability of local search compared to GA. A-ECMS [175], [176], [177] P-ECMS [178], [179], [180], [181][182], [183] MPC D-MPC [184], [185], [186]  Nearest Solutions to global optimum point  Preview driving pattern, as well as terrain and prospective driving data  Prediction the horizon sensitivity A-MPC [187], [188], [189], [190], [191] T-MPC [192], …”

Section: Table IV Taxonomy Of Optimization Based Energy Management St...mentioning

confidence: 99%

Hybrid Sources Powered Electric Vehicle Configuration and Integrated Optimal Power Management Strategy

Gautam¹,

Tariq

Pandey³

et al. 2022

IEEE Access

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Internal Combustion Engine based transportation rapidly increases the impact on the environment. The burning of fossil fuels in the industries and transportation sector breadth of global warming. However, Hybrid Electric Vehicle is not a permanent solution for emission-less road vehicles. Therefore, electric vehicles are the most feasible technologies to attain the goals of energy savings and zero-emission road vehicles. This paper sequentially surveys the key point of vehicles like; Powertrain strategy, configuration, fuel economy, reduced emission, and control strategy expounds in terms of its basic principles, pros, and cons. These key points make the energy management strategy more conclusive for the more efficient vehicle. In addition, this paper review systematically qualitative and quantitative algorithm in all type of EMS used in HEV and compare them with existing approaches in terms of pros & cons through a comprehensive analysis. Furthermore, addressed the potential research gap and provide the directives for further development in power train and ems in every respect.

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“…A number of works examine MO approaches to optimization of diesel combustion at steady conditions for fuel consumption and emissions [20], [21]. MO approaches have been applied to dynamic automotive problems before; hybrids [22] and optimal gear shift profiles [23], however literature applying MO approaches to dynamics to improve or generate calibrations is still relatively sparse.…”

Section: Introductionmentioning

confidence: 99%

Application of Multi-Objective Optimization Techniques for Improved Emissions and Fuel Economy over Transient Manoeuvres

Corre

Mason

Steffen

et al. 2019

SAE Technical Paper Series

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This paper presents a novel approach to augment existing engine calibrations to deliver improved engine performance during a transient, through the application of multi-objective optimization techniques to the calibration of the Variable Valve Timing (VVT) system of a 1.0 litre gasoline engine. Current mature calibration approaches for the VVT system are predominantly based on steady state techniques which fail to consider the engine dynamic behaviour in real world driving, which is heavily transient.In this study the total integrated fuel consumption and engine-out NOx emissions over a 2-minute segment of the transient Worldwide Light-duty Test Cycle are minimised in a constrained multiobjective optimisation framework to achieve an updated calibration for the VVT control. The cycle segment was identified as an area with high NOx emissions. The optimisation framework was developed around a Mean Value Engine Model (MVEM) with representative engine controls which was validated against an engine tested on a dynamometer. The aim of this study was to demonstrate a practical benefit without having to significantly change the existing engine control strategy. Offline optimization with the MVEM model allows exploitation of workstation computational performance to effectively explore the calibration space, reducing both time and investment in engine testing.The initial simulation optimization results show a strong dominance of both fuel and NOx objectives with a potential reduction in fuel consumption and engine out NOX emissions of up to 5% and 18% respectively compared to the original steady-state based VVT calibration. Engine experimental results have confirmed that NOX emissions can be significantly reduced without any significant detriment to fuel economy over this 2min transient.

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Multi-Objective Optimal Design of Parallel Plug-In Hybrid Powertrain Configurations with Respect to Fuel Consumption and Driving Performance

Cited by 7 publications

References 16 publications

Control of connected and automated vehicles: State of the art and future challenges

Control of connected and automated vehicles: State of the art and future challenges

Hybrid Sources Powered Electric Vehicle Configuration and Integrated Optimal Power Management Strategy

Application of Multi-Objective Optimization Techniques for Improved Emissions and Fuel Economy over Transient Manoeuvres

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