Nan Hai

Inner Mongolia University of Technology

H指数:8

被引数:240

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Online state of charge estimation for lithium-ion batteries using improved fuzzy C-means sparrow backpropagation algorithm

基于改进模糊C均值麻雀反向传播算法的锂离子电池在线荷电状态估计

JOURNAL OF ENERGY STORAGE

IF9.8

2025-05-010

PRE

Enhanced transformer encoder long short-term memory hybrid neural network for multiple temperature state of charge estimation of lithium-ion batteries

用于锂离子电池多温度荷电状态估计的增强型变压器编码器长短期记忆混合神经网络

JOURNAL OF POWER SOURCES

IF7.9

2025-03-010

PRE

An improved progressive window-strong tracking multiple fading algorithm for the state of charge and state of energy co-estimation of lithium-ion batteries under variable temperatures

JOURNAL OF ENERGY STORAGE

IF9.8

2024-12-010

PRE

Strong robust state of health estimation of lithium-ion batteries based on aging feature mechanism analysis and improved mixed kernel least squares support vector regression model

IONICS

IF2.6

2024-10-210

PRE

Improved K-means clustering-genetic backpropagation modeling for online state-of-charge estimation of lithium-ion batteries adaptive to low-temperature conditions

JOURNAL OF ENERGY STORAGE

IF9.8

2024-10-010

PRE

An improved limited memory-Sage Husa-cubature Kalman filtering algorithm for the state of charge and state of energy co-estimation of lithium-ion batteries based on hysteresis effect-dual polarization model

ENERGY

IF9.4

2024-10-010

PRE

An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition

ENERGY

IF9.4

2024-10-010

PRE

High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model

基于强相关老化特征提取和改进混合核函数最小二乘支持向量回归机模型的锂离子电池高精度健康状态估计

JOURNAL OF ENERGY STORAGE

IF9.8

2024-06-015

PRE

A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries

用于锂离子电池荷电状态估计的新型遗传权重引导前馈反向传播神经网络

JOURNAL OF ENERGY STORAGE

IF9.8

2024-05-011

PRE

An improved genetic-back propagation network constructing strategy for high-precision state-of-charge estimation of complex-current-temperature-variation lithium-ion batteries

一种改进的遗传反向传播网络构造策略，用于复杂电流温度变化的锂离子电池荷电状态的高精度估计

IONICS

IF2.6

2024-04-300

PRE

Improved particle swarm optimization-long short-term memory model with temperature compensation ability for the accurate state of charge estimation of lithium-ion batteries

JOURNAL OF ENERGY STORAGE

IF9.8

2024-04-017

PRE

An Improved Self-Adaptive Flower Pollination-Backpropagation Neural Network for the State of Charge Estimation of Lithium-Ion Batteries with Output Sliding Average Window Strategy

一种改进的自适应花授粉-反向传播神经网络，用于输出滑动平均窗策略的锂离子电池荷电状态估计

JOURNAL OF THE ELECTROCHEMICAL SOCIETY

IF3.3

2024-02-071

An improved random drift particle swarm optimization-feed forward backpropagation neural network for high-precision state-of-charge estimation of lithium-ion batteries

JOURNAL OF ENERGY STORAGE

IF9.8

2023-12-018

PRE

Nan Hai

个人简介

教育背景

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