Fuel economy and the price of gasoline: Evidence from fueling-level micro data

2021 ◽  
Vol 202 ◽  
pp. 104496
Author(s):  
Christopher R. Knittel ◽  
Shinsuke Tanaka
Keyword(s):  
2020 ◽  
Vol 5 (3) ◽  
pp. 245-252
Author(s):  
Yiran Shi ◽  
Shengjun Xue ◽  
Xing Zhang ◽  
Tao Huang

2019 ◽  
Vol 118 ◽  
pp. 02005
Author(s):  
Ying Ai ◽  
Yuanjie Gao ◽  
dongsheng Liu

Hybrid electric vehicle fuel consumption and emissions are closely related to its energy management strategy. A fuzzy controller of energy management using vehicle torque request and battery state of charge (SOC) as inputs, engine torque as output is designed in this paper foe parallel hybrid electric vehicle. And a multi-objective mathematical function which purpose on maximize fuel economy and minimize emissions is also established, in order to improve the adaptive ability and the control precision of basic fuzzy controller, this paper proposed an improved particle swarm algorithm that based on dynamic learning factor and adaptive inertia weight to optimize the control parameters. Simulation results based on ADVISOR software platform show that the optimized energy management strategy has a better distribution of engine and motor torque, which helps to improved the vehicle’s fuel economy and exhaust emission performance.


2006 ◽  
Vol 38 (14) ◽  
pp. 1605-1616 ◽  
Author(s):  
Randall G. Kesselring ◽  
Dale Bremmer
Keyword(s):  

1976 ◽  
Vol 12 (1-3) ◽  
pp. 11-27 ◽  
Author(s):  
KAZUO INOUE ◽  
HARUO UKAWA ◽  
ISAO FUJII

2000 ◽  
Vol 32 (8) ◽  
pp. 953-959 ◽  
Author(s):  
Jane M. Fry ◽  
Tim R. L. Fry ◽  
Keith R. McLaren

2017 ◽  
Vol 1 (3) ◽  
pp. 615-625 ◽  
Author(s):  
Philippe Julien ◽  
Jeffrey M. Bergthorson

This paper discusses a set of constraints for the selection of metal fuel candidates, along with green recycling techniques.


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