Abstract
The main challenge for the pure electric vehicles (PEVs) with a hybrid energy storage system (HESS), consisting of a battery pack and an ultra-capacitor pack, is to develop a real-time controller that can achieve a significant adaptability to the real road. In this paper, a comprehensive controller considering the traffic information is proposed, which is composed of an adaptive rule-based controller (main controller) and a fuzzy logic controller (auxiliary controller). Through analyzing the dynamic programming (DP) based power allocation of HESS, a general law for the power allocation of HESS is acquired and an adaptive rule-based controller is established. Then, to further enhance the real-time performance of the adaptive rule-based controller, traffic information, which consists of the traffic condition and road grade, is considered, and a novel method combining a K-means clustering algorithm and traffic condition is proposed to predict the future trend of vehicle speed. On the basis of the obtained traffic information, a fuzzy logic controller is constructed to provide the correction for the power allocation in the adaptive rule-based controller. Ultimately, the comparative simulations among the traditional rule-based controller, the adaptive rule-based controller, and the comprehensive controller are conducted, and the results indicate that the proposed adaptive rule-based controller reduces battery life loss by 3.76% and the state of change (SOC) consumption by 3.55% in comparison with the traditional rule-based controller. Furthermore, the comprehensive controller possesses the most excellent performance and reduces the battery life loss by 2.98% and the SOC consumption of the battery by 1.88%, when compared to the adaptive rule-based controller.
Highlights
The consumption of fossil energy and the increasingly rigorous emission standards has led to a widespread concern for pure electric vehicles (PEVs) [1,2]
The World Light Test Procedure (WLTP) driving cycle is chosen as a test driving cycle and the information of the traffic condition and the road grade is added into the WLTP driving cycle [31]
Comparative simulationscontroller among the the traditional controller, controller, and comprehensive considering therule-based traffic information are adaptive conductedrule-based under the controller, and comprehensive controller considering the traffic information are conducted under the controller, and comprehensive controller considering the traffic information are conducted under
Summary
The consumption of fossil energy and the increasingly rigorous emission standards has led to a widespread concern for pure electric vehicles (PEVs) [1,2]. Most of the research for the control of HESS does not consider the impact of the traffic information on the power allocation In these controllers ignoring the traffic information, some problems, such as the adaptability to driving cycles or computing load, restrict their application to the real road, and in those controllers considering traffic information, the road grade, the traffic condition and the vehicle speed are not taken into account at the same time in a controller. In order to enhance the adaptability of the traditional controllers to the driving cycles, an adaptive rule-based controller is proposed in this paper to get rid of the reliance on the expert experiences through analyzing the general law of the optimal power allocation of HESS under various driving cycles.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
