Battery cost forecasting: a review of methods and results with an outlook to 2050

L Mauler, F Duffner, WG Zeier, J Leker - Energy & Environmental …, 2021 - pubs.rsc.org
Rechargeable batteries are a key enabler to achieve the long-term goal to transform into a
climate-neutral society. Within this transformation, battery costs are considered a main …

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

Y Wang, J Tian, Z Sun, L Wang, R Xu, M Li… - … and Sustainable Energy …, 2020 - Elsevier
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …

Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook

MSH Lipu, MA Hannan, TF Karim, A Hussain… - Journal of Cleaner …, 2021 - Elsevier
Globally, the research on battery technology in electric vehicle applications is advancing
tremendously to address the carbon emissions and global warming issues. The …

[HTML][HTML] Large-scale automotive battery cell manufacturing: Analyzing strategic and operational effects on manufacturing costs

F Duffner, L Mauler, M Wentker, J Leker… - International Journal of …, 2021 - Elsevier
Cost-efficient battery cell manufacturing is a topic of intense discussion in both industry and
academia, as battery costs are crucial for the market success of electrical vehicles (EVs) …

Current trends for state-of-charge (SoC) estimation in lithium-ion battery electric vehicles

IB Espedal, A Jinasena, OS Burheim, JJ Lamb - Energies, 2021 - mdpi.com
Energy storage systems (ESSs) are critically important for the future of electric vehicles.
Despite this, the safety and management of ESSs require improvement. Battery …

Development of a Machine learning assessment method for renewable energy investment decision making

M Izanloo, A Aslani, R Zahedi - Applied Energy, 2022 - Elsevier
The aim of this study is to develop a hybrid methodology based on statistical approach and
machine learning algorithm to structure the investment decisions in renewable energy …

Battery cost modeling: A review and directions for future research

F Duffner, M Wentker, M Greenwood, J Leker - Renewable and Sustainable …, 2020 - Elsevier
Cost reduction of electric vehicles (EVs), which depends largely on their most cost-intensive
component, the battery, is the prerequisite for their market success. To achieve this cost …

A lithium-ion battery remaining useful life prediction method based on unscented particle filter and optimal combination strategy

J Yang, W Fang, J Chen, B Yao - Journal of Energy Storage, 2022 - Elsevier
Remaining useful life (RUL) prediction is crucial for the lithium-ion battery prognosis and
health management. To track the battery degradation process of the highly nonlinear …

Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis

J Wang, L Cheng, L Feng, KY Lin, L Zhang… - Advanced Engineering …, 2023 - Elsevier
To track the dynamics of AI and wind power technology knowledge interaction and predict
future interaction directions, this study proposes a multiview and multilayer patent analysis …

Tracing the technological development trajectory in post-lithium-ion battery technologies: A patent-based approach

LJ Aaldering, CH Song - Journal of Cleaner Production, 2019 - Elsevier
With the ever-growing energy demands, new battery chemistries beyond lithium ion
technology are required to deal with an increased power consumption and promote the …