Competitive location model and algorithm of new energy vehicle battery …
To solve the competitive facility location problem of new energy vehicle battery recycling outlets considering queuing theory, an Improved Human Learning Optimization …
A hybrid algorithm for the state of energy estimation of lithium …
The first part of this paper introduces the background and current status of …
Dynamic cycling enhances battery lifetime | Nature Energy
Lithium-ion batteries degrade in complex ways. This study shows that cycling under realistic electric vehicle driving profiles enhances battery lifetime by up to 38% …
New energy vehicle battery state of charge prediction based on …
To further improve the accuracy of predicting the state of charge, the study …
An Algorithm for New Energy Battery SOH Prediction Based on …
To solve the problem of low accuracy of new energy power battery SOH prediction, this paper proposes a deep learning based battery health state prediction …
High-precision joint estimation of the state of charge and state of ...
To improve the accuracy and stability of battery state estimation in the complex operating environment of the LIBs in new energy electric vehicles, an improved SVD-AECKF …
Research on SOC Algorithm of Lithiumion Battery Based on New Energy …
3.1 Filtering Process of EKF Algorithm. Kalman filter algorithm is only applicable to linear systems. For nonlinear systems, an extended Kalman filter (EKF) algorithm is …
Estimating state of charge of battery in renewable energy …
An artificial neural network estimates the state of charge of a battery based on key variables such as battery voltage, charging current, load current, and
Research on modeling and control strategy of lithium battery energy ...
On this basis, the multi-objective control strategy is adopted for the peak regulating power of the energy storage system and the load state balance of the battery. The …
A hybrid algorithm for the state of energy estimation of lithium …
The first part of this paper introduces the background and current status of the current lithium-ion battery energy state; the second part introduces the theoretical knowledge …
New energy vehicle battery state of charge prediction based on …
To further improve the accuracy of predicting the state of charge, the study utilizes actual operating data of new energy vehicles and combines two proposed algorithms …
Optimal Allocation of Primary Frequency Modulation Capacity of Battery …
Currently, the integration of new energy sources into the power system poses a significant challenge to frequency stability. To address the issue of capacity sizing when …
Optimization of distributed energy resources planning and battery ...
The proposed algorithm outperforms existing state-of-the-art methods for …
Modelling and optimal energy management for battery energy …
Battery energy storage systems (BESS) have been playing an increasingly important role in modern power systems due to their ability to directly address renewable …
Optimization of distributed energy resources planning and battery ...
The proposed algorithm outperforms existing state-of-the-art methods for small-scale distributed resource allocation. In the second scenario, a multi-period load demand …
Safety management system of new energy vehicle power battery …
Therefore, the fault diagnosis model based on WOA-LSTM algorithm proposed in the study can improve the safety of the power battery of new energy battery vehicles and …
High-precision joint estimation of the state of charge and state of ...
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 …
Analysis of a safe utilization algorithm for retired power batteries ...
Consequently, new energy vehicles have experienced a rapid growth in recent years [1]. However, the battery technology of new energy vehicles requires further …
Real time prediction algorithm for SOC of lithium ion power battery ...
The battery needs to provide a large amount of power in a short time under the condition of a high pulse rate. Real time and accurate State of Charge (SOC) prediction can …
(PDF) Improving the Efficiency of Renewable Energy
The results show that when using a battery to store generated energy, on average, the newly proposed algorithm outperforms the baseline algorithm, obtaining up to …
Energy storage optimal configuration in new energy stations …
The energy storage revenue has a significant impact on the operation of new energy stations. In this paper, an optimization method for energy storage is proposed to solve …
A New Method for Estimating Lithium-Ion Battery State-of-Energy …
Accurate estimation of the state-of-energy (SOE) in lithium-ion batteries is critical for optimal energy management and energy optimization in electric vehicles. However, …