检索结果-内蒙古大学图书馆

Mppt Design of Centralized Thermoelectric Generation System Under Non-Uniform Temperature Distribution Based on Coot Optimization Algorithm

学校读者我要写书评

暂无评论

SSRN 2023年

作者： Yuan, Xiao-Hong Li, Bo Liu, Xun Xiong, Xin Wang, Yi-Ping Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Hubei Collaborative Innovation Centre for Automotive Components Technology Wuhan University of Technology Wuhan China

Due to the fact that TEG system commonly operates in environment where temperature distribution is non-uniform, consequently the output characteristic curve P-V for centralized TEG systems gives rise to several local maximum power points (LMPP). The paper suggests a COOT algorithm-based maximum power point tracking (MPPT) method for centralized TEG system that can detect the global maximum power point (GMPP). The algorithm is optimized by imitating the collective behavior of Coot water birds, which involves their leadership structures and chain movements, to enhance its capability of jumping out the local optima. To evaluate its performance, this paper conducted distinct case studies that included engine speed at 1000, 2500, and 4000 rpm, step changes and randomly changes. The effectiveness of the COOT algorithm is evaluated by comparing its performance with that of the traditional P&O algorithm as well as the meta-heuristic algorithms GWO and PSO. It is shown that the COOT algorithm can achieve optimum power output and effectively reduce fluctuations in output power, while converging to the optimal solution more quickly. © 2023, The Authors. All rights reserved.

关键词： Temperature distribution

Research on the Thermal Management Control Strategy of Electric Vehicles Based on the Soft Actor-Critic Algorithm

学校读者我要写书评

暂无评论

SSRN 2024年

作者： Yuan, Xiaohong Sun, Zhuosong Liu, Xun Wang, Yiping Su, Chu-Qi Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Hubei Collaborative Innovation Centre for Automotive Components Technology Wuhan University of Technology Wuhan China

This paper presents a thermal management control strategy for electric vehicles that utilizes the Soft Actor-Critic (SAC) algorithm, a form of deep reinforcement learning. The paper commences with a comprehensive introduction and analysis of the thermal management system and heat load of electric vehicles. Subsequently, a controller based on the SAC algorithm was designed and trained. The controller guarantees battery safety and cabin comfort while optimizing energy efficiency. The study presents a series of simulation experiments that demonstrate the effectiveness of a control strategy based on deep reinforcement learning for thermal management in electric vehicles. The experimental results indicate that the SAC controller outperforms rule-based controllers. The findings suggest that this SAC-based control strategy could be a novel and effective solution for thermal management in electric vehicles. © 2024, The Authors. All rights reserved.

关键词： Reinforcement learning

Research on the Thermal Management Control Strategy of Electric Vehicles Based on the Soft Actor-Critic Algorithm

学校读者我要写书评

暂无评论

SSRN 2023年

作者： Yuan, Xiao-Hong Sun, Zhuo-Song Liu, Xun Su, Chu-Qi Wang, Yi-Ping Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Hubei Collaborative Innovation Centre for Automotive Components Technology Wuhan University of Technology Wuhan China

This paper presents a thermal management control strategy for electric vehicles that utilizes the Soft Actor-Critic (SAC) algorithm, a form of deep reinforcement learning. The paper commences with a comprehensive introduction and analysis of the thermal management system and heat load of electric vehicles. Subsequently, a controller based on the SAC algorithm was designed and trained. The controller guarantees battery safety and cabin comfort while optimizing energy efficiency. A series of simulation experiments are presented to demonstrate the effectiveness of a control strategy based on deep reinforcement learning for thermal management in electric vehicles. The experimental results indicate that the SAC controller outperforms rule-based controllers. The findings suggest that this SAC-based control strategy could be a novel and effective solution for thermal management in electric vehicles. © 2023, The Authors. All rights reserved.

关键词： Reinforcement learning

Modeling and Simulation of a Hydro-pneumatic Accumulator System for Hybrid Air Development

学校读者我要写书评

暂无评论

Modeling and Simulation of a Hydro-pneumatic Accumulator Sys...

2014 International Conference on Energy Science and Applied technology(ESAT 2014)

作者： Hao Li Yuanhao Zhu Yuhua Xin Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Quality Department Shanghai General Motors

To meet the increasingly stringent environmental protection regulations,there had emerged several technologies in the electrification of powertrains in hybrid vehicle,such as HEV and ***,these also led to increasing costs which could greatly affect the ***,here introduce a new type of full-hybrid powertrain that combines a petrol engine and a compressed air energy storage unit instead of a battery,offering an alternative to electric hybrid *** paper laid the emphasis on the multi-domain modeling and simulation of a hydro-pneumatic accumulator system,and then continues to study its dynamic behavior of the compressed air and output performance of the pump/motor with *** show that the system possesses a high applied value in a given hybrid air system.

关键词： Hybrid air hydro-pneumatic accumulator modeling dynamic performance

Li-Ion Battery Thermal Management and Thermal Runaway Suppression Method of Combining Phase Change Material and Annular Thermoelectric Cooler

学校读者我要写书评

暂无评论

SSRN 2023年

作者： Liu, Xun Wu, Pan-Yun Su, Chu-Qi Xiong, Xin Wang, Yiping Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Hubei Collaborative Innovation Centre for Automotive Components Technology Wuhan University of Technology Wuhan China

This paper proposes a thermal management system that incorporates an annular thermoelectric cooler (ATEC) and a phase change material (PCM) for the purpose of thermal management and suppression of thermal runaway (TR) in Li-ion batteries. The cooling effect generated by the ATEC cold end is utilized to cool both the PCM and the battery. Under the normal operating mode of the lithium battery, PCM played a primary role in the thermal management system, while ATEC played an auxiliary role. In this case, a small current was applied to ATEC to extend the period of time during which the PCM undergoes a phase transition, thus extending the duration of the battery's temperature control. In the event of abnormal heat generation from the battery, PCM was replaced by ATEC into a major role. In this case, a high current was applied to ATEC to avoid the battery temperature reaching the trigger temperature of TR, so as to avoid the occurrence of irreversible TR. Besides, the effects of ATEC single loop thermocouple logarithm, thermocouple angle ratio and shape parameters on system performance were investigated through numerical simulations. According to the results, the optimal temperature control time can be obtained when each ring of ATEC has thermocouples of 4, angle ratio of 0.75 and shape parameter of 1.3, and the irreversible TR caused by abnormal heat generation can be effectively suppressed. © 2023, The Authors. All rights reserved.

关键词： Temperature control

The subjective evaluation on sound quality for interior noise based on customer satisfaction

学校读者我要写书评

暂无评论

Computer Modelling and New Technologies 2014年第12期18卷 533-540页

作者： Xing, Peng Hua, Lin Deng, Song Du, Songze Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Wuhan China

Customer satisfaction is proposed to evaluation a product quality whether good or not in the development of market with customer-oriented. In this paper, the importance of the customer requirement is introduced in sound quality evaluation. During the subjective evaluation procedure, the roughness coefficient and average roughness interval are applied to calculate the basic importance of customer requirement. Subsequently, the amending factor set is conducted to correct the basic importance of customer requirement based on the Kano model. As a result, the final importance of customer requirement is obtained, which can transform the customers' subjective requirements to engineering improvement targets. Moreover, the test on noise working condition is carried out. The results indicate effectiveness of the proposed method.

关键词： Customer satisfaction

Research on predictive cruise control of electric vehicle based on time-varying model prediction 4

学校读者我要写书评

暂无评论

Research on predictive cruise control of electric vehicle ba...

4th CAA International Conference on Vehicular Control and Intelligence, CVCI 2020

作者： Wu, Dongmei Liu, Huan Zhao, Feixiang Li, Yang Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Automotive Research Institute China National Heavy Duty Truck Group Co. Ltd Jinan China Technical Center of Dongfeng Commercial Vehicle Wuhan China

ISBN: (纸本)9781728184968

For the problem of ecological cruise control integrating the terrain information of the road ahead, in order to input the actual slope changed with time over the prediction horizon, a linear time-varying model predictive controller is designed in this paper based on the traditional theory of model predictive control. The analysis of vehicle driving on flat road and hilly road is simulated by MATLAB/Simulink, results show that it has a good effect on energy saving at the cost of shorter distance. In addition, the energy consumption under different control targets and the influence of weight coefficients on vehicle economy under the same target are also analyzed and compared. © 2020 IEEE.

关键词： Model predictive control

Study on the Law of Ultrasonic Vibration-Assisted Adhesive Bonding of CFRP-to-Aluminum Joints

学校读者我要写书评

暂无评论

Study on the Law of Ultrasonic Vibration-Assisted Adhesive B...

2017 International Conference on Mechanical and Mechatronics Engineering(ICMME2017)

作者： Xu-fei HAO Hui WANG Lin HUA Hua-min ZHOU Shi-qi LEI Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology State Key Laboratory of Material Processing and Die & Mould Technology Huazhong University of Science and Technology

A novel ultrasonic vibration-assisted adhesion method for CFRP-to-aluminum joints is *** force caused by ultrasonic vibration is introduced to reinforce the process of CFRP adhesion,which can overcome shortcomings in passive adhesion enhancement *** relationship between each ultrasonic vibration factor is explored,and the optimal ultrasonic vibration frequency,15 KHz,is *** orthogonal experiment optimizing adhesive bonding process,it is found that the order of the influence of the factors on the adhesion strength is:Vibration time > Vibration amplitude > Vibration pressure > Vibration position,and the optimal ultrasonic vibration-assisted adhesive bonding of CFRP-to-aluminum joints(vibration time is 8 s,vibration pressure is 0.40 MPa,vibration position is 30 mm and vibration amplitude is 56 μ m) can improve adhesion strength by 40.14% and improve consistency of adhesion strength by 58.29%.This study provides a feasible and effective method for CFRP component adhesion.

关键词： Ultrasonic vibration Bonding CFRP Optimization Orthogonal experiment

Formability of aluminum alloy thin-walled cylinder parts by servo hot stamping

学校读者我要写书评

暂无评论

Procedia Engineering 2017年 207卷 741-746页

作者： Yanli Song Dingguo Dai Ping Geng Lin Hua Hubei Key Laboratory of Advanced Technology for Automotive Components (Wuhan University of Technology) Wuhan 430070 China Hubei Collaborative Innovation Center for Automotive Components Technolog Wuhan 430070 China School of automotive Engineering Wuhan University of Technology Wuhan 430070 China

In order to meet the huge demands of automotive lightweight, the application of aluminum alloy sheets in the automotive parts has gradually increased in recent years. Aluminum alloy sheets, however, usually have low ductility at room temperature, which results in the poor formability of automotive parts by using traditional forming processes, especially for those with large size, thin wall and complex shapes. In this paper, the formability of aluminum alloy thin-walled cylinder parts by a novel process, i.e., servo hot stamping was discussed. First, a robust finite element model of thin-walled cylinder part made in aluminum alloy 7075 sheet hot stamping was established based on finite element simulation software ABAQUS. The servo motion mode was then put forward and a suitable forming speed area ranging from the motion curve 2 to the motion curve 4 were demined. Finally, the effect law and mechanism of servo motion on the formability of such thin-walled cylinder parts were revealed by analyzing plastic strain, thickness and temperature distributions. The results have academic value and practical significance for the forming of aluminum alloy parts.

关键词： aluminum alloy servo hot stamping formability