Mahammad Abdul Hannan

Electrical and Electronic Engineering · 2017–2021

A researcher in the Science corpus: 10 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 203 citations into it; #12,646 of 16,539 by trust here, #4,712 by citations
• Automotive Engineering — 173 citations into it

Whom Mahammad Abdul Hannan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Rui Xiong
2. Hongwen He
3. Mustafa Farhadi
4. Fengchun Sun
5. Xiaosong Hu
6. Wei He

Who trusts Mahammad Abdul Hannan overall

1. Juan Pablo Rivera-Barrera
2. Carlos Vidal
3. Nicolás Muñoz-Galeano
4. Sumit K. Rathor
5. Pawel Malysz

Papers from Mahammad Abdul Hannan's perspective

Ordered by how strongly the researchers Mahammad Abdul Hannan trusts endorse each paper. Same corpus, a different order for every researcher.

1. A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries
2. Progress in electrical energy storage system: A critical review
3. Energy Storage Technologies for High-Power Applications (IEEE transactions on industry applications)
4. Hybrid energy storage: the merging of battery and supercapacitor chemistries. (Chemical Society Reviews)
5. Processes and technologies for the recycling and recovery of spent lithium-ion batteries
6. Encapsulating V2O5 into carbon nanotubes enables the synthesis of flexible high-performance lithium ion batteries
7. High Energy Density Lithium Batteries: Materials, Engineering, Applications
8. High-energy-density lithium-ion battery using a carbon-nanotube–Si composite anode and a compositionally graded Li[Ni0.85Co0.05Mn0.10]O2 cathode
9. Hunting for Better Li-Based Electrode Materials via Low Temperature Inorganic Synthesis†
10. Energy Storage Systems for Transport and Grid Applications (IEEE transactions on industrial electronics (1982. Print))

Their papers

• A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations (2017) — 1,721 citations
• Uncertainty models for stochastic optimization in renewable energy applications (2020) — 435 citations
• State-of-the-Art and Energy Management System of Lithium-Ion Batteries in Electric Vehicle Applications: Issues and Recommendations (2018) — 642 citations
• Review of Energy Storage System Technologies in Microgrid Applications: Issues and Challenges (2018) — 543 citations
• Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues (2021) — 576 citations
• Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook (2021) — 395 citations
• Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends (2020) — 336 citations
• Grid-connected renewable energy sources: Review of the recent integration requirements and control methods (2020) — 381 citations
• State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review (2019) — 605 citations
• Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations (2018) — 346 citations