The Proceedings of the Conference on Information, Intelligence and Precision Equipment : IIP
Online ISSN : 2424-3140
2019
Session ID : 1D04
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Application of energy optimal control to autonomous driving of hybrid electric vehicle
Derivation of optimal control law for position control
*Hiroshi UCHIDANaoto FUKUSHIMAIchiro HAGIWARA
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Abstract
A method of applying energy optimum control (EOC) when the hybrid electric vehicle performs position control has been developed. As a method of deriving an optimal control law suitable for position control, we attempted a method of adding a virtual drive system driven by a position error signal in the model to be controlled, adding its power consumption to the evaluation function and deriving an optimum control law. In the simulation of the preceding vehicle follow-up, good trackability was not obtained in the rule-based control (RBC) of the comparison, but good follow-up results were obtained in the EOC. The engine energy consumption for EOC was only 85.7% of RBC. In the simulation of the target position stopping, energy consumption was effectively suppressed by the function of the efficiency function of the engine and the motor in the EOC. As a result, the EOC consumed about 92% of the RBC's engine energy consumption.
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© 2019 The Japan Society of Mechanical Engineers
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