Optimal engine control for series-hybrid electric vehicles by genetic programming methods

Gladwin, D. and Stewart, P. and Stewart, J. (2008) Optimal engine control for series-hybrid electric vehicles by genetic programming methods. In: SAE Powertrains Fuels and Lubricants Congress 2008, 23-25 June 2008, Shanghai, China.

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optimal engine control for series-hybrid electric vehicles by genetic programming methods
This paper addresses the problem of maintaining a stable rectified DC output from the three phase AC generator in a series-hybrid vehicle powertrain. In this case, the engine/generator combination is controlled by an electronic throttle, and the system as a whole can be represented as nonlinear with significant time delay. Previously, stable voltage control of the generator output has been achieved by model predictive methods such as the Smith Predictor, which rely on accurate system and time delay models, with associated computational complexity in the real-time controller, and as a necessity relies to some extent on the accuracy of the models. Two complementary performance objectives exist in the design of the control system. Firstly to maintain the internal combustion engine at its optimal operating point, and secondly to supply a stable DC supply to the traction drive inverters. Achievement of these goals minimises the transient energy storage requirements at the DC link, with a consequent reduction in both weight and cost. These objectives imply constant velocity operation of the internal combustion engine under external load disturbances. In order to achieve these objectives, and reduce the complexity of implementation, in this paper a controller is designed by the use of Genetic Programming methods in Simulink, with the aim of obtaining a relatively simple controller for the time- delay system which does not rely on the implementation of real time system models or time delay approximations in the controller.
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Abstract

This paper addresses the problem of maintaining a stable rectified DC output from the three phase AC generator in a series-hybrid vehicle powertrain. In this case, the engine/generator combination is controlled by an electronic throttle, and the system as a whole can be represented as nonlinear with significant time delay. Previously, stable voltage control of the generator output has been achieved by model predictive methods such as the Smith Predictor, which rely on accurate system and time delay models, with associated computational complexity in the real-time controller, and as a necessity relies to some extent on the accuracy of the models.
Two complementary performance objectives exist in the design of the control system. Firstly to maintain the internal combustion engine at its optimal operating point, and secondly to supply a stable DC supply to the traction drive inverters. Achievement of these goals minimises the transient energy storage requirements at the DC link, with a consequent reduction in both weight and cost. These objectives imply constant velocity operation of the internal combustion engine under external load disturbances. In order to achieve these objectives, and reduce the complexity of implementation, in this paper a controller is designed by the use of Genetic Programming methods in Simulink, with the aim of obtaining a relatively simple controller for the time- delay system which does not rely on the implementation of real time system models or time delay approximations in the controller.

Item Type:Conference or Workshop Item (Presentation)
Additional Information:This paper addresses the problem of maintaining a stable rectified DC output from the three phase AC generator in a series-hybrid vehicle powertrain. In this case, the engine/generator combination is controlled by an electronic throttle, and the system as a whole can be represented as nonlinear with significant time delay. Previously, stable voltage control of the generator output has been achieved by model predictive methods such as the Smith Predictor, which rely on accurate system and time delay models, with associated computational complexity in the real-time controller, and as a necessity relies to some extent on the accuracy of the models. Two complementary performance objectives exist in the design of the control system. Firstly to maintain the internal combustion engine at its optimal operating point, and secondly to supply a stable DC supply to the traction drive inverters. Achievement of these goals minimises the transient energy storage requirements at the DC link, with a consequent reduction in both weight and cost. These objectives imply constant velocity operation of the internal combustion engine under external load disturbances. In order to achieve these objectives, and reduce the complexity of implementation, in this paper a controller is designed by the use of Genetic Programming methods in Simulink, with the aim of obtaining a relatively simple controller for the time- delay system which does not rely on the implementation of real time system models or time delay approximations in the controller.
Keywords:Genetic Programming, control systems analysis and design, hybrid electric vehicles
Subjects:G Mathematical and Computer Sciences > G700 Artificial Intelligence
H Engineering > H330 Automotive Engineering
Divisions:College of Science > School of Engineering
ID Code:2242
Deposited By:INVALID USER
Deposited On:22 Mar 2010 07:11
Last Modified:13 Mar 2013 08:35

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