Structural health monitoring (SHM) technology for surveillance and evaluation of existing and newly built long-span bridges has been widely developed, and the significance of the technique has been recognized by many administrative authorities. The paper reviews the recent progress of the SHM technology that has been applied to long-span bridges. The deployment of a SHM system is introduced. Subsequently, the data analysis and condition assessment including techniques on modal identification, methods on signal processing, and damage identification were reviewed and summarized. A case study about a SHM system of a long-span arch bridge (the Jiubao bridge in China) was systematically incorporated in each part to advance our understanding of deployment and investigation of a SHM system for long-span arch bridges. The applications of SHM systems of long-span arch bridge were also introduced. From the illustrations, the challenges and future trends for development a SHM system were concluded.

Deployment of a Smart Structural Health Monitoring System for Long-Span Arch Bridges: A Review and a Case Study.

A hierarchical energy management strategy for fuel cell/battery/supercapacitor hybrid electric vehicles

Structural health monitoring of an operational bridge: A case study

The impact of internal combustion engine-powered automobiles on climate change due to emissions and the depletion of fossil fuels has contributed to the progress of electrified powertrains. Energy management strategies (EMS) have shown huge impact on the energy efficiency of the electrified powertrains. In recent years, Reinforcement Learning (RL) based algorithms have been intensely investigated to develop EMS for electrified powertrain with specific depth in hybrid electric vehicles (HEV), battery electric vehicles (BEV) and fuel cell vehicles (FCV) and the research in this area is still acelerating. However, a comprehensive review of RL-based EMS is lacking in literature. This article reviews the recent penetration of RL based EMS like Q-learning, Deep Q Learning, deep deterministic policy gradient in the electrified powertrains domain. Extensive importance is given to the classification of the literature based on powertrain architecture, RL algorithm, and the different features and operation mechanisms of relevant algorithms are highlighted. The use of connected and autonomous vehicles and relevant communication technology to develop RL-based systems have also been discussed. More importantly, the challenges with regards to existing research in the field of RL-based EMS and the potential solutions with scope for future research are also discussed. 

A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution

The impact of internal combustion engine-powered automobiles on climate change due to emissions and the depletion of fossil fuels has contributed to the progress of electrified powertrains. Energy management strategies (EMS) have shown huge impact on the energy efficiency of the electrified powertrains. In recent years, Reinforcement Learning (RL) based algorithms have been intensely investigated to develop EMS for electrified powertrain with specific depth in hybrid electric vehicles (HEV), battery electric vehicles (BEV) and fuel cell vehicles (FCV) and the research in this area is still acelerating. However, a comprehensive review of RL-based EMS is lacking in literature. This article reviews the recent penetration of RL based EMS like Q-learning, Deep Q Learning, deep deterministic policy gradient in the electrified powertrains domain. Extensive importance is given to the classification of the literature based on powertrain architecture, RL algorithm, and the different features and operation mechanisms of relevant algorithms are highlighted. The use of connected and autonomous vehicles and relevant communication technology to develop RL-based systems have also been discussed. More importantly, the challenges with regards to existing research in the field of RL-based EMS and the potential solutions with scope for future research are also discussed.

Analysis and coordinated control of mode transition and shifting for a full hybrid electric vehicle based on dual clutch transmissions

Recently, the exclusive compulsory technical code (GB 50982-2014) for structural health monitoring of buildings and bridges in China has been developed and implemented. This code covers the majorit...

https://journals.sagepub.com/doi/pdf/10.1177/1687814016684272

Specifications and applications of the technical code for monitoring of building and bridge structures in China

This article focuses on the mode-switch control of a new type of full hybrid electric vehicle with a torque-limiting clutch and an overrunning clutch. The working mode regions of hybrid electric ve...

https://journals.sagepub.com/doi/pdf/10.1177/1687814016681233

Control strategy for all the mode-switches of hybrid electric vehicle:

An electrohydraulic hybrid power cutting transmission system for roadheader under specific working condition was proposed in this paper. The overall model for the new system composed of an electric motor model, a hydraulic pump-motor model, a torsional planetary set model, and a hybrid power train model was established. The working mode characteristics were simulated under the conditions of taking the effect of cutting picks into account. The advantages of new hybrid power cutting system about the dynamic response under shock load were investigated compared with the traditional cutting system. The results illustrated that the hybrid power system had an obvious cushioning in terms of the dynamic load of cutting electric motor and planetary gear set. Besides, the hydraulic motor could provide an auxiliary power to improve the performance of the electric motor. With further analysis, a dynamic load was found to have a high relation to the stiffness and damping of coupling in the transmission train. The results could be a useful guide for the design of cutting transmission of roadheader.

/pdf/performance-analysis-of-a-hybrid-power-cutting-system-for-1f0la7p8lv.pdf

Performance Analysis of a Hybrid Power Cutting System for Roadheader

To ensure effective heat recovery of thermoelectric generators, a cooling system is necessary to maintain the working temperature difference of the thermoelectric couples, which decreases continuously due to thermal diffusion. In order to evaluate and improve the thermoelectric performance of a concentric annular thermoelectric generator under various cooling methods, a comprehensive numerical model of the thermo-fluid-electric multi-physics field for an annular thermoelectric generator with a concentric annular heat exchanger was developed using the finite-element method. The effects of four cooling methods and different exhaust parameters on the thermoelectric performance were investigated. The results show that, in comparison to the cocurrent cooling pattern, the countercurrent cooling pattern effectively reduces temperature distribution non-uniformity and hence increases the maximum output power; however, it requires more thermoelectric semiconductor materials. Furthermore, when using the cocurrent air-cooling method, high exhaust temperatures may result in lower output power; high exhaust mass flow rates result in high exhaust resistance and reduce system net power. The maximum net power output Pnet = 432.42 W was obtained using the countercurrent water-cooling, corresponding to an optimal thermoelectric semiconductor volume of 9.06 × 10−4 m3; when compared to cocurrent water-cooling, the maximum net power increased by 8.9%, but the optimal thermoelectric semiconductor volume increased by 21.4%.

/pdf/thermoelectric-performance-evaluation-and-optimization-in-a-3tbff5fi.pdf

Yang Yang

Papers

Analysis and coordinated control of mode transition and shifting for a full hybrid electric vehicle based on dual clutch transmissions

Specifications and applications of the technical code for monitoring of building and bridge structures in China

Control strategy for all the mode-switches of hybrid electric vehicle:

Performance Analysis of a Hybrid Power Cutting System for Roadheader

Thermoelectric Performance Evaluation and Optimization in a Concentric Annular Thermoelectric Generator under Different Cooling Methods