Wei He

Automotive Engineering · with Pecht · 2011–2014

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 32 citations into it; #610 of 3,081 by trust here, #654 by citations
• Control and Systems Engineering — 18 citations into it
• Safety, Risk, Reliability and Quality — 9 citations into it; #590 of 1,220 by trust here, #64 by citations

Whom Wei He trusts overall

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

1. Michael G. Pecht
2. Yinjiao Xing
3. Qiang Miao

Who trusts Wei He overall

1. Xiaosong Hu
2. Z. Ye
3. Nicholas Williard
4. Lifeng Wu
5. Yinjiao Xing
6. Kailong Liu
7. Michael G. Pecht
8. Robert R. Richardson
9. Lei Ren
10. Shengjing Tang

Papers from Wei He's perspective

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

1. Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me
2. Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
3. An ensemble model for predicting the remaining useful performance of lithium-ion batteries (Microelectronics and reliability)
4. Modeling and Simulation of Lithium-Ion Batteries from a Systems Engineering Perspective
5. Power and thermal characterization of a lithium-ion battery pack for hybrid-electric vehicles
6. Internal short circuit in Li-ion cells
7. Mechanical behavior of representative volume elements of lithium-ion battery cells under compressive loading conditions
8. Modeling dendrite growth during lithium electrodeposition at sub-ambient temperature
9. Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression (Microelectronics and reliability)
10. Remaining useful life prediction of lithium-ion battery with unscented particle filter technique (Microelectronics and reliability)

Their papers

• Prognostics of lithium-ion batteries based on DempsterShafer theory and the Bayesian Monte Carlo me (2011) — 956 citations
• State of charge estimation for electric vehicle batteries using unscented kalman filtering (2013) — 345 citations
• State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation (2014) — 476 citations
• Lessons Learned from the 787 Dreamliner Issue on Lithium-Ion Battery Reliability (2013) — 303 citations