Multi-level data-driven battery management: From internal sensing to big data utilization

Z Wei, K Liu, X Liu, Y Li, L Du… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A battery management system (BMS) is essential for the safety and longevity of lithium-ion
battery (LIB) utilization. With the rapid development of new sensing techniques, artificial …

Electric vehicle batteries: Status and perspectives of data-driven diagnosis and prognosis

J Zhao, AF Burke - Batteries, 2022 - mdpi.com
Mass marketing of battery-electric vehicles (EVs) will require that car buyers have high
confidence in the performance, reliability and safety of the battery in their vehicles. Over the …

Energy management strategy of a novel parallel electric-hydraulic hybrid electric vehicle based on deep reinforcement learning and entropy evaluation

Z Zhang, T Zhang, J Hong, H Zhang, J Yang - Journal of Cleaner …, 2023 - Elsevier
An excellent energy management strategy is paramount to the new energy vehicle safety,
durability, and reliability, which invariably affects the driving experience. This paper …

An early soft internal short-circuit fault diagnosis method for lithium-ion battery packs in electric vehicles

K Zhang, L Jiang, Z Deng, Y **e… - IEEE/ASME …, 2023 - ieeexplore.ieee.org
The early detection of soft internal short-circuit faults in lithium-ion battery packs is critical to
ensuring the safe and reliable operation of electric vehicles. This article proposes a fault …