Electric Powertrain System Design of BEV and HEV Applying a Multi Objective Optimization Methodology

Schönknecht, Andreas; Babik, Adam; Rill, Viktor

doi:10.1016/j.trpro.2016.05.429

Cited by 27 publications

(6 citation statements)

References 8 publications

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“…The technological drawbacks (limited range, relatively long charging times), high purchase price (with long payback time) and lack of system integration (limited public charging infrastructure, non-standardized charging methods) have been identified as main barriers for EVs [11,12]. Large efforts are made to study new technologies [13,14], such as high energy battery cells. For example, the energy-density of PHEV batteries has been improved by almost 400% between 2008 and 2015 (from 60 Wh/L to 295 Wh/L) that enabled improved EV ranges.…”

Section: Literature Reviewmentioning

confidence: 99%

Demand Calculation Method for Electric Vehicle Charging Station Locating and Deployment

Csiszár

2019

Period. Polytech. Civil Eng.

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To develop, plan, implement and operate the electric road mobility system, especially the charging infrastructure, the existing and potential demand must be revealed for several time horizons. Accordingly, the aim of the research was to elaborate a calculation method for electric vehicle charging demand and to determine the public charging infrastructure locating principles. The research questions were: how many and what kind of vehicles will be used; where, when and how long they will be charged; what aspects and how influence the charging station deployment. The number of charging points to be installed, the energy demand and capacity management parameters can be also determined using the revealed correlations. The calculation method is adaptable to any territorial unit and any time horizon. It is the basis of charging station locating methods, which is demonstrated through two novel geoinformatics applications.

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Section: Literature Reviewmentioning

confidence: 99%

Demand Calculation Method for Electric Vehicle Charging Station Locating and Deployment

Csiszár

2019

Period. Polytech. Civil Eng.

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“…It is applied on component level [12][13][14] and on system level. On system level, common fields of application are the vehicle structure [15,16], the powertrain design [17][18][19][20] as well as the suspension design [21][22][23]. Each of the approaches for powertrain or suspension design optimization is limited to its field of research and does not take into account further systems such as vehicle dynamics in powertrain design optimization.…”

Section: Vehicle Design Optimizationmentioning

confidence: 99%

Parameter-adaption for a vehicle dynamics model for the evaluation of powertrain concept designs

et al. 2019

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The powertrain design of multi-motor electric vehicles directly affects not only costs, consumption and acceleration, but also the handling of a vehicle. Therefore, a holistic powertrain design optimization needs to include a vehicle dynamics model in its objective function. While the parameters for the powertrain model result from the design variables that describe the powertrain, the parameters for the vehicle dynamics model must be adapted in a feasible way to ensure comparable results. Therefore, the authors present a method on how to adaptively parametrize a double-track vehicle dynamics model for the use in powertrain design optimization. Automated design calculations for all main chassis and suspension parts are used to determine the parameters for the model. A parameter variation proves the plausibility of the approach. The results show that an adaption of the suspension and chassis parameters due to changes in the powertrain make results more comparable but do not compensate for the effects on the vehicle handling. In particular, the steady state longitudinal load distribution still has major influences on the vehicle handling.

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“…Structural optimization has been applied to the design of automatic transmissions. Schönknecht et al 9 designed the Electric Powertrain of Battery Electric Vehicles with the methodology of multi-objective optimization. The optimization scope includes relevant electric powertrain components from the battery, inverter, and electric machine to the gearbox.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective optimization design approach of large mining planetary gear reducer

Xin,

Zhang,

et al. 2023

Sci Rep

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A two-stage computational framework is proposed to optimize the radiated noise and weight of a large mining planetary gear reducer under the rated conditions, based on a combination of response surface methodology and multi-objective optimization. The well-established transient dynamic analysis model of a large mining planetary gear reducer, which is used to analyze the mechanical strength and acoustic characteristics of the gear reducer. A unified experimental design is developed to obtain the response surface of the gearbox radiated noise and the mass of the gearbox housing. After obtaining the multi-objective optimization function, the multi-objective optimization problem for a lightweight and low-noise gearbox is performed using non-dominated sorting from the Genetic Algorithm II (NSGA-II). The research results demonstrates the effectiveness of the proposed optimization method in reducing vibrating amplitude and weight of the gearbox. This is crucial for minimizing energy consumption and enhancing the overall performance of the system. Additionally, the optimized gearbox design not only saves energy but also contributes to the reduction of carbon emissions, making it environmentally friendly.

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Electric Powertrain System Design of BEV and HEV Applying a Multi Objective Optimization Methodology

Cited by 27 publications

References 8 publications

Demand Calculation Method for Electric Vehicle Charging Station Locating and Deployment

Demand Calculation Method for Electric Vehicle Charging Station Locating and Deployment

Parameter-adaption for a vehicle dynamics model for the evaluation of powertrain concept designs

A multi-objective optimization design approach of large mining planetary gear reducer

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