Model Based Engine Control Development and Hardware-in-the-Loop Testing for the EcoCAR Advanced Vehicle Competition

Cooley, Robert; Vezza, Davide Simone; Midlam-Mohler, Shawn; Rizzoni, Giorgio

doi:10.4271/2011-01-1297

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…The engine was converted from CNG to ES5, which required the development of a new engine control unit (ECU). This was accomplished by programming and calibrating a rapid prototyping controller using a model based calibration approach [10], [11]. The overall structure of engine controller is shown in Fig.…”

Section: ) Supervisory Controllermentioning

confidence: 99%

Well-to-wheel analysis and measurement of energy use and greenhouse gas and criteria emissions in a Plug-in Hybrid Vehicle: the EcoCAR 2 case study

Bovee

Rizzoni

Midlam-Mohler

et al. 2014

2014 IEEE International Electric Vehicle Conference (IEVC)

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This paper presents a detailed well-to-wheel anal ysis of energy use, greenhouse gas and criteria emissions for a prototype Parallel-Series Plug-in Hybrid Electric Vehicle (PHEV ) developed as part of the EcoCAR 2 competition. The EcoCAR 2 team at the Ohio State University (OSU) has designed Parallel-Series Vehicle (PHEV ) capable of 67 km all-electric range, which features a lS.9-kWh lithium-ion battery pack with range extending operation in both series and parallel modes made possible by a l.S-L ethanol (ES5) engine and a 6-speed automated manual transmission. The vehicle also has two SOkW peak electric machines, one on the front axle and one on the rear axle, that enable the vehicle to have an all electric 4WD operating mode. The OSU vehicle is designed to reduce fuel consumption, with a utility factor-weighted fuel economy of 5.19 Ll100km gasoline equivalent, while meeting the EPAs Tier II Bin 5 emissions standards. Over the course of the three year competition, the Ohio State team of approximately 40 students designed, built and tested their Parallel-Series PHEV. In addition to the mechanical and electrical fabrication work, the team also developed their own control code for the engine, transmission and supervisory controllers using Software-in-the Loop (SIL) and Hardware-in-the-Loop (HIL) techniques. The EcoCAR 2 competition and the Ohio State teams participation in it were made possible through support from the U.S. Department of Energy, General Motors, The Ohio State University, and numerous competition and local sponsors.The analysis presented in this paper is based on road data collected before, during and after the EcoCAR2 competition.The OSU vehicle finished in first place in the competition, demonstrating a fully functional PHEV that achieved significant improvements in fuel economy, and in greenhouse gas and criteria emissions. This paper illustrates the application of analysis methods developed by Argonne National Laboratory to evaluate well-to-wheel energy and emissions performance, and compares these methods with the current procedures in use by the U.S.Environmental Protection Agency (EPA) and by the European Union (EU) to establish fuel economy and emissions labels for production vehicles.

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Section: ) Supervisory Controllermentioning

confidence: 99%

Well-to-wheel analysis and measurement of energy use and greenhouse gas and criteria emissions in a Plug-in Hybrid Vehicle: the EcoCAR 2 case study

Bovee

Rizzoni

Midlam-Mohler

et al. 2014

2014 IEEE International Electric Vehicle Conference (IEVC)

Self Cite

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“…In this paper, the accommodation of biodiesel in diesel–electric hybrid vehicles will be studied, and the methodology may be applicable to other prototypes of biofuel–electric hybrids, e.g. the E85‐powered gasoline engine in a hybrid electric vehicle .…”

Section: Introductionmentioning

confidence: 99%

Comparative Study and Accommodation of Biodiesel in Diesel‐Electric Hybrid Vehicles Coupled with Aftertreatment Systems

Zhao

Chen

Ibrahim

et al. 2015

Asian Journal of Control

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Biodiesel is a promising renewable alternative fuel, which can be used in diesel‐electric hybrid vehicles to potentially bring one kind of clean vehicle on the road. However, the fuel property variation can cause impacts to the powertrain and aftertreatment systems. In this paper, biodiesel's influence on post‐injection effects is studied. Experimental results are obtained to demonstrate the differences between diesel and biodiesel, and to build up fuel‐dependent maps of engine torque, temperature, and emissions. Utilizing those maps, an aftertreatment warm‐up approach compatible with both fuels is developed by strategically enabling double post injections. Finally, a supervisory controller based on model predictive control method is designed to optimize and balance the tradeoff between hybrid vehicle fuel economy and tailpipe emissions. Simulations are conducted for both fuels with or without the proposed control strategy. The validation results show that for both fuels, the controller can significantly reduce tailpipe emissions by successfully regulating the catalyst temperature to the desired range sacrificing fuel economy. And for biodiesel, additional fuel cost is required in order to realize the tradeoff.

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Development of a SIL, HIL and Vehicle Test-Bench for Model-Based Design and Validation of Hybrid Powertrain Control Strategies

Vora¹,

Wu²,

Wang³

et al. 2014

SAE Technical Paper Series

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Model Based Engine Control Development and Hardware-in-the-Loop Testing for the EcoCAR Advanced Vehicle Competition

Cited by 4 publications

References 6 publications

Well-to-wheel analysis and measurement of energy use and greenhouse gas and criteria emissions in a Plug-in Hybrid Vehicle: the EcoCAR 2 case study

Well-to-wheel analysis and measurement of energy use and greenhouse gas and criteria emissions in a Plug-in Hybrid Vehicle: the EcoCAR 2 case study

Comparative Study and Accommodation of Biodiesel in Diesel‐Electric Hybrid Vehicles Coupled with Aftertreatment Systems

Development of a SIL, HIL and Vehicle Test-Bench for Model-Based Design and Validation of Hybrid Powertrain Control Strategies

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