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2013 | OriginalPaper | Buchkapitel

Application of Energy Distribution Analysis During the Vehicle Development

verfasst von : Yongsheng Long, Jianpeng Shi, Li Xin, Xueen Zhang, Jun Wang, Shaoju Qu

Erschienen in: Proceedings of the FISITA 2012 World Automotive Congress

Verlag: Springer Berlin Heidelberg

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Abstract

Faced with rising vehicle energy saving and environmental protection requirements, if you rely solely on a field of energy saving and consumption reducing, it is hard to get the required amount of goals to improve. And how will the vehicle fuel consumption reduction target value that you want the correct segmentation into fuel consumption reduction target values in various fields, will be the key to compliance. This research goal is to establish a decomposition model of vehicle fuel economy of consumption, by decomposition on vehicle fuel consumption target value, make of vehicle fuel consumption reduction target value easier to reach. Product development, will CAE simulation technology combined with the variety of real train test data, is to reduce the cost of development, an effective method to shorten the development cycle. Research methods in this chapter is through CAE simulation analysis of establishing vehicle fuel economy of consumption model, is allocated for vehicle fuel consumption management, vehicle fuel economy of consumption is divided into the following energy consumption model: engine loses energy consumption model, brake system energy consumption model, train energy consumption model, model of energy consumption of air resistance, rolling resistance model of energy consumption. And verified using experimental data on the energy decomposition model, continually modified and improved the energy decomposition model. Establishment of decomposition technique system of passenger automobile fuel economy, correctly grasp the body and chassis drive, engine and vehicle technology in reducing fuel consumption, energy distribution practices. In the development of a model of the company, through the use of energy consumption distribution model of the study on rational allocation of vehicle fuel economy target values for confirmed their fuel economy target of the project model, allowing the automobile to standard three phase fuel consumption limit values easier. Due to the lack of product development experience and development data, may result in the model decomposition energy consumption of different automobiles in different degrees of error model, even its accuracy may also apply only to the model developed by the model. But with the development experience and data accumulated, the study on the establishment of decomposition models will continue to improve vehicle fuel economy, shorten the development cycle, reduce development costs of this research will play a key role. Vehicle fuel economy reflect the model of comprehensive performance indicators. Must be involved in all areas, such as: transmission of body and chassis, engine and vehicle technology in terms of performance and match the overall optimization. This innovative approach of the study is established through the CAE simulation model for vehicle fuel consumption, and using reasonable collection of test data and optimized using experimental data for model validation, and constantly improve the vehicle’s energy consumption model with the. By establishing a decomposition model of vehicle fuel economy, vehicle involves different areas of the development of a rational energy consumption objectives, can greatly shorten the development cycle and reduce development costs. Therefore, in the future of the company’s new product development, the study on the establishment of the vehicle fuel economy decomposition model will become an indispensable development tool.

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Zurück zum Zitat Shijin S (2011) Automotive engine fundamentals. QingHua University Shijin S (2011) Automotive engine fundamentals. QingHua University
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Metadaten
Titel
Application of Energy Distribution Analysis During the Vehicle Development
verfasst von
Yongsheng Long
Jianpeng Shi
Li Xin
Xueen Zhang
Jun Wang
Shaoju Qu
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-33738-3_29

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