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SAE International Journal of Alternative Powertrains
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SAE International Journal of Alternative Powertrains

National Taiwan University, Taiwan-Ming-Yen Chen, Kang Yang, Yun-Zhong Sun, Jung-Ho Cheng
  • Journal Article
  • 08-08-01-0004.1
Published 2019-11-01 by SAE International in United States

Control Strategy for Hybrid Electric Vehicle Based on Online Driving Pattern Classification

SAE International Journal of Alternative Powertrains

University of Alabama, USA-Zhengyu Yao, Hwan-Sik Yoon
  • Journal Article
  • 08-08-02-0006
Published 2019-12-04 by SAE International in United States
Hybrid Electric Vehicles (HEVs) are gaining popularity these days mainly due to their high fuel economy. While conventional HEV controllers can be classified into rule-based control and optimization-based control, most of the production vehicles employ rule-based control due to their reliability. However, once the rule is optimized for a given driving pattern, it is not necessarily optimal for other driving patterns. In order to further improve fuel economy for HEVs, this article investigates the feasibility of optimizing control algorithm for different driving patterns so that the vehicle maintains a high level of optimality regardless of the driving patterns. For this purpose, a two-level supervisory control algorithm is developed where the top-level algorithm classifies the current driving pattern to select optimal control parameters, and the lower level algorithm controls the vehicle power flow using the selected control parameters in a similar way to conventional supervisory controllers. To study the effectiveness of the proposed algorithm, a HEV model with a rule-based control algorithm is modified such that the control parameters are optimized for different driving patterns, and…
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Identification and Review of the Research Gaps Preventing a Realization of Optimal Energy Management Strategies in Vehicles

SAE International Journal of Alternative Powertrains

Western Michigan University, USA University of California Irvine, USA University of California Davis, USA Colorado State University, USA-Zachary D. Asher, Amol A. Patil, Van T. Wifvat, Andrew A. Frank, Scott Samuelsen, Thomas H. Bradley
  • Journal Article
  • 08-08-02-0009
Published 2019-11-14 by SAE International in United States
The development of new vehicle control strategies that achieve improved fuel economy (FE) is an active subject of research due to the economic, environmental, and societal impact of transportation. These control strategies can be classified as either driving behavior modifications (e.g., Eco-Driving, Eco-Routing) or powertrain operation modifications (e.g., an Optimal Energy Management Strategy, or Optimal EMS). This literature review is focused on the Optimal EMS and seeks to develop a novel understanding of the current research gaps and to provide a novel comprehensive overview of initial studies addressing the identified research gaps. Research gaps are derived by utilizing a systems-level viewpoint of an Optimal EMS realization in vehicles and studying the subsystem integration readiness levels (IRLs). Identified research gaps include (1) incorporation of both perception and planning subsystems, (2) studying the effects of mispredictions on the planning subsystem, and (3) physical demonstrations of the planning subsystem. Studies which have begun to fill each research gap are identified, and recommendations are presented for future research to bridge each research gap. It is the authors’ contention that…
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System Performance Comparison of Direct Torque Control Strategies Based on Flux Linkage and DC-Link Voltage for EV Drivetrains

SAE International Journal of Alternative Powertrains

Indian Institute of Technology Guwahati, India-Kashyap Kumar Prabhakar, C. Upendra Reddy, Amit Kumar Singh, Praveen Kumar
  • Journal Article
  • 08-08-02-0007
Published 2019-11-14 by SAE International in United States
Numerous works have been carried out with perspectives to improve the energy efficiency of electric vehicle (EV) drivetrains; much of the attention has been on the design of highly efficient electric motors, power converters, and energy storage system. Besides the abovementioned factors, selection of the drivetrain configuration and control strategy also influence the efficiency and performance of EV drivetrain. The drivetrain efficiency and performance indices, such as torque ripple and total harmonic distortion (THD) of voltage and current, are sensitive to the direct current (dc)-link voltage and flux linkage values for a drivetrain control strategy. Therefore, in this work, the efficiency and the performance of two popular direct torque controlled induction motor (IM) drives are compared on the basis of adjustable dc-link voltage and flux linkage values for desired operating condition. Both these techniques are implemented on a lab scale test bed. Extensive experiments are performed to determine and compare the drivetrain efficiency maps. Further, dynamic and steady-state (SS) control performance in terms of speed, torque, and flux linkage is examined. Other performance indices, such…
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Hybrid Transmission for Optimizing Input Machine Operation

SAE International Journal of Alternative Powertrains

University of Split, Croatia-Damir Jelaska, Milan Perkušić, Srdjan Podrug, Vjekoslav Tvrdić 
  • Journal Article
  • 08-08-02-0008
Published 2019-11-14 by SAE International in United States
The hybrid transmission with a single energy source is presented in this article, which has the ability to, under certain constraints, transfer the energy from the input shaft with arbitrary variable speed onto the output shaft with the variable speed required for an output machine or propelling member operation - without a control system. The transmission is in a way similar to a power-split transmission for hybrid electric vehicles sans the battery and a power-split control logic. Development of a dedicated control system enables the optimal operation of the input machine. As an example, the transmission is designed for a passenger automobile. For the chosen automobile type, the power train is modeled in MATLAB/Simulink. In drive simulations during the single New European Driving Cycle (NEDC), the powertrain efficiency and fuel consumption are obtained and compared with two comparable vehicles: the conventional one and the advanced HEV. The competitiveness of the proposed transmission is proven.
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