Search Results - "Jia, Chunchun"

Synthesis and thermal expansion property of Cr2W3O12 doped with WO3 by Dong, Qingchen, Liu, Kunlei, Jia, Chunchun, Wang, Shaowu, Liu, Xiansheng, Zhang, Weifeng

“…Cr2W3O12, one of the members of the negative thermal expansion family of A2M3O12, is reported to be prepared by the solid-state method with Cr2O3 and WO3,…”
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A new cost-minimizing power-allocating strategy for the hybrid electric bus with fuel cell/battery health-aware control by He, Hongwen, Jia, Chunchun, Li, Jianwei

“…The two primary challenges preventing the commercialization of fuel cell hybrid electric vehicles (FCHEV) are their high cost and limited lifespan. Improper…”
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Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information by Li, Kunang, Zhou, Jiaming, Jia, Chunchun, Yi, Fengyan, Zhang, Caizhi

“…Environmental working conditions have a great impact on the power demand and fuel consumption of vehicles, and the rational use of road terrain information…”
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A novel energy management strategy for hybrid electric bus with fuel cell health and battery thermal- and health-constrained awareness by Jia, Chunchun, Zhou, Jiaming, He, Hongwen, Li, Jianwei, Wei, Zhongbao, Li, Kunang, Shi, Man

“…In the field of future transportation, hydrogen fuel cell hybrid electric vehicles (FCHEVs) are regarded as the most potential renewable energy vehicles, but…”
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Learning-based model predictive energy management for fuel cell hybrid electric bus with health-aware control by Jia, Chunchun, He, Hongwen, Zhou, Jiaming, Li, Jianwei, Wei, Zhongbao, Li, Kunang

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Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information by Jia, Chunchun, Zhou, Jiaming, He, Hongwen, Li, Jianwei, Wei, Zhongbao, Li, Kunang

“…The escalating level of vehicle electrification and intelligence makes higher requirements for the energy management strategy (EMS) of fuel cell vehicles…”
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Health-aware energy management strategy for fuel cell hybrid bus considering air-conditioning control based on TD3 algorithm by Jia, Chunchun, Li, Kunang, He, Hongwen, Zhou, Jiaming, Li, Jianwei, Wei, Zhongbao

“…The air-conditioning system (ACS), as a high-power component on the fuel cell hybrid electric bus (FCHEB), has a significant impact on the whole vehicle…”
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Multi-objective tradeoff optimization of predictive adaptive cruising control for autonomous electric buses: A cyber-physical-energy system approach by Shi, Man, He, Hongwen, Li, Jianwei, Han, Mo, Jia, Chunchun

“…•A cyber physical energy system for energy management is used for cruising control.•The motion planning and the weight coefficient are co-optimized under the…”
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A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism by Jia, Chunchun, He, Hongwen, Zhou, Jiaming, Li, Kunang, Li, Jianwei, Wei, Zhongbao

“…Proton exchange membrane fuel cell (PEMFC) is a highly promising renewable energy conversion technology. However, durability issues have hindered their…”
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A novel health-aware deep reinforcement learning energy management for fuel cell bus incorporating offline high-quality experience by Jia, Chunchun, He, Hongwen, Zhou, Jiaming, Li, Jianwei, Wei, Zhongbao, Li, Kunang

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Deep reinforcement learning-based energy management strategy for fuel cell buses integrating future road information and cabin comfort control by Jia, Chunchun, Liu, Wei, He, Hongwen, Chau, K.T.

“…•An EMS integrating future road information and cabin comfort control is proposed.•Quantified the impact of multi-source information fusion and ACS control on…”
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Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions by Li, Menglin, Yin, Long, Yan, Mei, Wu, Jingda, He, Hongwe, Jia, Chunchun

“…Vehicles' perception capability of environmental situations has been enhanced in the connected environment. However, the utilization of abundant and diverse…”
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A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction by Zhou, Jiaming, Shu, Xing, Zhang, Jinming, Yi, Fengyan, Jia, Chunchun, Zhang, Caizhi, Kong, Xianghao, Zhang, Junling, Wu, Guangping

“…The performance of proton exchange membrane fuel cells (PEMFCs) will gradually deteriorate during long-term operation. Accurate performance degradation…”
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Voltage abnormality-based fault diagnosis for batteries in electric buses with a self-adapting update model by He, Hongwen, Zhao, Xuyang, Li, Jianwei, Wei, Zhongbao, Huang, Ruchen, Jia, Chunchun

“…This study aims to solve the key issue for electric buses on how to improve the accuracy and reliability of battery fault diagnosis with the emerging…”
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A deep learning-based power battery capacity estimation model assisted with feature vector construction by Zhao, Xuyang, He, Hongwen, Huang, Ruchen, Dou, Jingwei, Wang, Yunlong, Jia, Chunchun

“…This study aims to answer the key question on how to detect the capacity degradation of the power batteries in electric vehicles (EVS) with emerging…”
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