Health-Conscious Energy Management Strategy with Monitoring/Diagnosis/Prognosis Modules for Embedded Hybrid Energy Storage Systems

Dear Colleagues,

The dual pressure from the environment and the energy crisis is motivating the development of carbon-emission-free transport systems, which cover many industry sectors, such as aviation, marine, rail, and road. Continuous operation with guaranteed safety and reliability of on-board energy storage systems (ESSs) plays a pivotal role in the promotion of transport electrification. Currently, polymer electrolyte membrane fuel cells (PEMFCs), lithium-ion batteries (LIBs), and supercapacitors (SCs) are the state-of-the-art ESSs for on-board applications. Because of the strong demands on reliability, energy efficiency, and dynamic performance, the modern electric drives are intended to be powered by a hybridized energy source.

Although fruitful research results about energy management strategies (EMSs) have been made in recent years, the EMS design considering online ESSs’ monitoring/diagnosis/prognosis results remains a scientific challenge. Namely, the current EMSs are mainly based on the easy-to-get assumptions about the health status of ESSs. The in-depth discussions about the health-conscious EMS with online monitoring/diagnosis/prognosis module still deserve more research efforts because the timely reaction based on the monitoring/diagnosis/prognosis results can prevent further deterioration. Furthermore, a better control of charging and discharging process can be envisaged to prolong ESSs’ service time.

The proposed Special Issue highlights the research topics of online monitoring, diagnosis, and prognosis of PEMFCs, LIBs, and SCs, and their integration into the sophisticated health-conscious EMS. Topics of interest for publication include, but are not limited to:

• Data-driven or model-based state-of-charge and state-of-health estimation for ESSs;
• Control-oriented multi-physical (electrical-thermal-aging) modeling for ESSs;
• Fusion of model-based and data-driven control techniques for ESSs;
• Robust and non-linear observer design for state and parameter estimation for ESSs;
• Proposition of health-conscious or fault tolerant control strategy for ESSs;
• Incipient ESSs fault diagnosis;
• Early stage remaining-useful-life prediction and uncertainty assessment for ESSs;
• Information fusion-based decision-making process for health-conscious EMS design;
• Advanced artificial intelligence techniques in the health-conscious EMS design;
• Comprehensive review of recent developments of ESSs’ online monitoring/diagnosis/prognosis and their integration into the health-conscious EMS. 

Dr. Jianwen Meng
Prof. Dr. Demba Diallo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• transport electrification
• lithium-ion batteries
• polymer electrolyte membrane fuel cells
• supercapacitors
• single/hybrid energy storage system
• fault diagnosis and fault tolerant control
• prognosis and health management
• health-conscious predictive control
• health-conscious energy management strategy