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Research on the Optimization Algorithm for Emission Control of Hybrid Power System Based on Energy Flow Model

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 929))

Abstract

Hybrid power system has been receiving extensive attention in automotive industry because it is one of the most promising technique to improve the fuel economy of conventional vehicles. However, it is very difficult to consider emission control in hybrid power system, and emission control is usually neglected. In this paper, an energy flow model is proposed based on the energy flow relationships in the vehicle. Through the proposed model, the operating modes of any complex hybrid power system can be simplified into three modes, and based on these three basic operating modes, the optimization of the matching and control strategy of the hybrid power system can be achieved. At the same time, by selecting an example of a complex hybrid power system, this paper introduces the method of the energy flow model to optimize the control strategy in detail. This example fully embodies the advantages of the energy flow model proposed in this paper in terms of the optimization of complex hybrid power systems.

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Acknowledgement

National key research and development plan: hybrid powertrain assembly development and vehicle integration (2017YFB0103203) funding of the new cost-effective passenger vehicle.

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Correspondence to Xinmei Yuan .

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Zhang, Q., Sun, W., Xia, J., Li, K., Yuan, X. (2019). Research on the Optimization Algorithm for Emission Control of Hybrid Power System Based on Energy Flow Model. In: Sugumaran, V., Xu, Z., P., S., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2019. Advances in Intelligent Systems and Computing, vol 929. Springer, Cham. https://doi.org/10.1007/978-3-030-15740-1_40

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