Hybrid electric vehicle (HEV) energy management strategies usually ignore the effects from dynamics of internal combustion engines (ICEs). They usually rely on steady-state maps to determine the required ICE torque and energy conversion efficiency. It is important to investigate how ignoring these dynamics influences energy consumption in HEVs. This shortcoming is addressed in this paper by studying effects of engine and clutch dynamics on a parallel HEV control strategy for torque split. To this end, a detailed HEV model including clutch and ICE dynamic models is utilized in this study. Transient and steady-state experiments are used to verify the fidelity of the dynamic ICE model. The HEV model is used as a testbed to implement the torque split control strategy. Based on the simulation results, the ICE and clutch dynamics in the HEV can degrade the control strategy performance during the vehicle transient periods of operation by around 8% in urban dynamometer driving schedule (UDDS) drive cycle. Conventional torque split control strategies in HEVs often overlook this fuel penalty. A new model predictive torque split control strategy is designed that incorporates effects of the studied powertrain dynamics. Results show that the new energy management control strategy can improve the HEV total energy consumption by more than 4% for UDDS drive cycle.
Skip Nav Destination
Article navigation
November 2018
Research-Article
Analysis and Control of Torque Split in Hybrid Electric Vehicles by Incorporating Powertrain Dynamics
Mehran Bidarvatan,
Mehran Bidarvatan
Mechanical Eng.-Eng. Mechanics Department,
Michigan Technological University,
Houghton, MI 49931-1295
e-mail: mbidarva@mtu.edu
Michigan Technological University,
Houghton, MI 49931-1295
e-mail: mbidarva@mtu.edu
Search for other works by this author on:
Mahdi Shahbakhti
Mahdi Shahbakhti
Mechanical Eng.-Eng. Mechanics Department,
Michigan Technological University,
Houghton, MI 49931-1295
e-mail: mahdish@mtu.edu
Michigan Technological University,
Houghton, MI 49931-1295
e-mail: mahdish@mtu.edu
Search for other works by this author on:
Mehran Bidarvatan
Mechanical Eng.-Eng. Mechanics Department,
Michigan Technological University,
Houghton, MI 49931-1295
e-mail: mbidarva@mtu.edu
Michigan Technological University,
Houghton, MI 49931-1295
e-mail: mbidarva@mtu.edu
Mahdi Shahbakhti
Mechanical Eng.-Eng. Mechanics Department,
Michigan Technological University,
Houghton, MI 49931-1295
e-mail: mahdish@mtu.edu
Michigan Technological University,
Houghton, MI 49931-1295
e-mail: mahdish@mtu.edu
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received July 30, 2017; final manuscript received May 3, 2018; published online June 18, 2018. Assoc. Editor: Beshah Ayalew.
J. Dyn. Sys., Meas., Control. Nov 2018, 140(11): 111009 (11 pages)
Published Online: June 18, 2018
Article history
Received:
July 30, 2017
Revised:
May 3, 2018
Citation
Bidarvatan, M., and Shahbakhti, M. (June 18, 2018). "Analysis and Control of Torque Split in Hybrid Electric Vehicles by Incorporating Powertrain Dynamics." ASME. J. Dyn. Sys., Meas., Control. November 2018; 140(11): 111009. https://doi.org/10.1115/1.4040219
Download citation file:
Get Email Alerts
Cited By
Offline and online exergy-based strategies for hybrid electric vehicles
J. Dyn. Sys., Meas., Control
Optimal Control of a Roll-to-Roll Dry Transfer Process With Bounded Dynamics Convexification
J. Dyn. Sys., Meas., Control (May 2025)
In-Situ Calibration of Six-Axis Force/Torque Transducers on a Six-Legged Robot
J. Dyn. Sys., Meas., Control (May 2025)
Active Data-enabled Robot Learning of Elastic Workpiece Interactions
J. Dyn. Sys., Meas., Control
Related Articles
Efficient Exhaustive Search of Power-Split Hybrid Powertrains With Multiple Planetary Gears and Clutches
J. Dyn. Sys., Meas., Control (December,2015)
A Predictive Energy Management Strategy for Hybrid Electric Powertrain With a Turbocharged Diesel Engine
J. Dyn. Sys., Meas., Control (June,2018)
Vehicle Dynamics Control of eAWD Hybrid Electric Vehicle Using Slip Ratio Optimization and Allocation
J. Dyn. Sys., Meas., Control (September,2018)
Modeling and Analysis of Transient Behavior of Polymer Electrolyte Membrane Fuel Cell Hybrid Vehicles
J. Fuel Cell Sci. Technol (August,2007)
Related Proceedings Papers
Related Chapters
Physiology of Human Power Generation
Design of Human Powered Vehicles
The Stirling Engine
Air Engines: The History, Science, and Reality of the Perfect Engine
Engineering Design about Electro-Hydraulic Intelligent Control System of Multi Axle Vehicle Suspension
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)