Lithium-ion batteries are one of the critical components in electric vehicles (EVs) and play an important role in green energy transportation. In this paper, lithium-ion batteries are reviewed from the perspective of battery materials, the characteristics of lithium-ion batteries with different cathode and anode mediums, and their commercial values in the field of electric vehicles. Representative products, including blade battery and Tesla 4680 cells, are inspected. Moreover, the results of commercial application of lithium-ion batteries in electric vehicles are summarized. Furthermore, cutting-edge technologies of lithium-ion batteries are discussed, including electrolyte technology, high-energy-density in situ polymerization technology, and pouch batteries. Finally, the latest EV battery technology development is looked over, including challenges and future development directions.

Beam pumping units play a key role in oil extraction. There is an increasing demand for optimal oil-extracting performance as operational environments are becoming more challenging and complex. Therefore, it is vital to create an acceptable mathematical model and develop robust control mechanisms. In the past decades, researchers have achieved fruitful results regarding modeling and control methods in this field. This article provides a comprehensive review of the research on modeling and control methods for beam pumping units, including mathematical models based on differential equations and boundary conditions, as well as the control strategies designed. Finally, future perspectives and recommendations are presented.

In recent years, electric vehicles powered by lithium-ion batteries have developed rapidly, and the safety and reliability of lithium-ion batteries have been a paramount issue. Battery management systems are highly dependent on sensor measurements to ensure the proper functioning of lithium-ion batteries. Therefore, it is imperative to develop a suitable fault diagnosis scheme for battery sensors, to realize a diagnosis at an early stage. The main objective of this paper is to establish validated electrical and thermal models for batteries, and address a model-based fault diagnosis scheme for battery sensors. Descriptor proportional and derivate observer systems are applied for sensor diagnosis, based on electrical and thermal models of lithium-ion batteries, which can realize the real-time estimation of voltage sensor fault, current sensor fault, and temperature sensor fault. To verify the estimation effect of the proposed scheme, various types of faults are utilized for simulation experiments. Battery experimental data are used for battery modeling and observer-based fault diagnosis in battery sensors.