36 Result(s)
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Article
A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems
With the gradual transformation of energy industries around the world, the trend of industrial reform led by clean energy has become increasingly apparent. As a critical link in the new energy industry chain, ...
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Article
Improved adaptive feedback particle swarm optimization-multi-innovation singular decomposition unscented Kalman filtering for high accurate state of charge estimation of lithium-ion batteries in energy storage systems
Accurate estimation of the state of charge (SOC) of lithium-ion batteries is very important for the development of energy storage systems. However, batteries are subject to characteristic changes in complex en...
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Article
Remaining useful life prediction of lithium-ion batteries based on performance degradation mechanism analysis and improved Deep Extreme Learning Machine model
The remaining useful life (RUL) of lithium-ion batteries is a decisive factor in the stability of electric vehicle systems. Aiming at the problem of limited robustness of Deep Extreme Learning Machine (DELM) i...
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Article
High-precision state of charge estimation of electric vehicle lithium-ion battery energy storage system based on multi-scale optimized time-varying bounded smoothing variable structure filtering algorithm
State of charge (SOC) is a crucial parameter in evaluating the remaining power of commonly used lithium-ion battery energy storage systems, and the study of high-precision SOC is widely used in assessing elect...
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Article
The influence of patterned microporous layer on the proton exchange membrane fuel cell performances
The ordered membrane electrode assembly (MEA) has gained much attention because of its potential in improving mass transfer. Here, a comprehensive study was conducted on the influence of the patterned micropor...
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Article
A hybrid kernel extreme learning machine modeling method based on improved dung beetle algorithm optimization for lithium-ion battery state of health estimation
The state of health (SOH) of lithium-ion batteries is an important indicator for evaluating the degradation of battery performance, which is crucial in battery management systems. With the development of scien...
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Article
An improved genetic-back propagation network constructing strategy for high-precision state-of-charge estimation of complex-current-temperature-variation lithium-ion batteries
Environmental issues have driven the booming development of lithium-ion battery technology, and improving the accuracy of state-of-charge (SOC) measurements will play an important role in prolonging battery cy...
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An improved grey wolf optimization–double adaptive extended Kalman filtering algorithm for co-estimation of state of charge and state of health for lithium-ion batteries based on temperature-dependent second-order RC model
Accurately estimating the state of charge (SOC) and state of health (SOH) of lithium-ion batteries is crucial for the safe operation of electric vehicle battery management systems (BMS). This paper proposes an...
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Article
Heterointerface engineering of assembled CoP2 on N-modified carbon as efficient trifunctional electrocatalysts for Zn-Air batteries and overall water splitting
Enhancing catalytic activity through modulating the interaction between N-doped carbon and metal phosphides clusters is an effective approach. Herein, the electronic structure modulation of CoP2 supported N-modif...
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Article
Lattice-distorted Pt wrinkled nanoparticles for highly effective hydrogen electrocatalysis
Modulating Pt surfaces through the introduction of lattice distortion emerges as immensely effective strategy that enhances the kinetics of alkaline hydrogen evolution and oxidation processes. In this study, w...
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Article
A novel variable activation function-long short-term memory neural network for high-precision lithium-ion battery capacity estimation
Capacity estimation of lithium-ion batteries is significant to achieving the effective establishment of the prognostics and health management (PHM) system of lithium-ion batteries. A capacity estimation model ...
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Article
The reformation of catalyst: From a trial-and-error synthesis to rational design
The appropriate catalysts can accelerate the reaction rate and effectively boost the efficient conversion of various molecules, which is of great importance in the study of chemistry, chemical industry, energy...
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Article
Improved multi-scale cosine control whale optimization–error feedforward double Kalman filtering for the online state of charge and state of health co-estimation of lithium-ion batteries
Lithium-ion batteries play a pivotal role in diverse applications, necessitating the precise estimation of their parameters for safe and efficient energy utilization. In the context of ternary lithium-ion batt...
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Article
Colloidal quasicrystals engineered with DNA
In principle, designing and synthesizing almost any class of colloidal crystal is possible. Nonetheless, the deliberate and rational formation of colloidal quasicrystals has been difficult to achieve. Here we ...
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Article
An improved adaptive weights correction-particle swarm optimization-unscented particle filter method for high-precision online state of charge estimation of lithium-ion batteries
In the battery management system (BMS), the state of charge (SOC) of lithium-ion batteries is an indispensable part, and the accuracy of SOC estimation has attracted wide attention. Accurate SOC estimation can...
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Article
Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction
Remaining useful life (RUL) of lithium-ion batteries is an important indicator for battery health management, and accurate prediction can promote reliable battery system design, as well as safety and effective...
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Article
Improved forgetting factor recursive least square and adaptive square root unscented Kalman filtering methods for online model parameter identification and joint estimation of state of charge and state of energy of lithium-ion batteries
The estimation of the state of charge (SOC) and state of energy (SOE) of lithium-ion batteries is very important for the battery management system (BMS) and the analysis of the causes of equipment failures. Ai...
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Article
Accurate computational design of three-dimensional protein crystals
Protein crystallization plays a central role in structural biology. Despite this, the process of crystallization remains poorly understood and highly empirical, with crystal contacts, lattice packing arrangeme...
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Article
High-precision joint estimation of the state of charge and state of energy for new energy electric vehicle lithium-ion batteries based on improved singular value decomposition-adaptive embedded cubature Kalman filtering
Accurate online estimation of the state of charge (SOC) and state of energy (SOE) of lithium-ion batteries are essential for efficient and reliable energy management of new energy electric vehicles (EVs). To i...
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Article
A complete ensemble empirical mode decomposition with adaptive noise deep autoregressive recurrent neural network method for the whole life remaining useful life prediction of lithium-ion batteries
The real-time prediction of the remaining useful life (RUL) of lithium-ion batteries provides an effective mean of preventing accidents. An improved adaptive noise-reduction deep learning method is applied to ...
