Considering Well-to-Wheels Analysis in Control Design: Regenerative Suspension Helps to Reduce Greenhouse Gas Emissions from Battery Electric Vehicles

Xu Hu, Jinwei Sun, Yisong Chen, Qiu Liu and Liang Gu
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Xu Hu: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Jinwei Sun: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Yisong Chen: School of Automobile, Chang’an University, Xi’an 710064, China
Qiu Liu: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Liang Gu: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

Energies, 2019, vol. 12, issue 13, 1-19

Abstract: Recent research has investigated the energy saving potential of regenerative suspension. However, the greenhouse gas (GHG) emission mitigation potential of regenerative suspension in battery electric vehicles (BEVs) has not been considered. Life cycle assessment (LCA) is a typical method for evaluating GHG emissions but is rarely used in vehicle control design. Here we explore the effects of regenerative suspension on reducing the GHG emissions from a BEV, whose control design considers well-to-wheels (WTW) analysis. The work first conducts the WTW analysis and modelling of the GHG emissions from a BEV equipped with regenerative suspension. Based on the models, the relation between suspension control parameters and GHG emissions is obtained. To reach a compromise between dynamic performance and environmental benefit, two types of control parameters are recommended and their switch rules during the operation are proposed. Finally, we take a case study with different driving cycles, road levels and country contexts. The results show that considering WTW analysis in control design can contribute to GHG emission mitigation, especially for countries that have a high-carbon intensity of the electricity grid. These findings provide a quantitative reference for technology path decision on regenerative suspension. This paper may provide a new insight for employing LCA in vehicle design.

Keywords: greenhouse gas emission reduction; battery electric vehicles; regenerative suspension; life cycle assessment; control design (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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