An adaptive prediction method based on VMD-GRU for future driving condition of vehicle DOI
Yong Chen, Zeyu Song,

Yanmin Huang

et al.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 27, 2024

Driving conditions prediction plays an important role in energy-saving control strategy for electric vehicle. However, the complexity of changes road poses a great challenge to accurate driving condition. To address this problem, paper proposes adaptive Sliding Window (SW) and Gated Recurrent Unit (GRU) algorithm predict short period, enables adjust size SW promptly when change frequently. A smaller window is adopted case drastically changing speeds, larger smooth speeds. Firstly, Principal Component Analysis (PCA) k-means clustering are used construct sample with same characteristics. Then instantaneous frequency calculated by Hilbert transform Variational Mode Decomposition (VMD), optimal applicable different frequencies quantitatively calculated. The model provides precise predictions root mean square error (RMSE), absolute (MAE) percentage (MAPE) 0.8799, 0.5443 0.8362%, respective. ablation experiments show that improved GRU capture trends more accurately, improves accuracy robustness model.

Language: Английский

Optimized PID controller and model order reduction of reheated turbine for load frequency control using teaching learning-based optimization DOI Creative Commons
Anurag Singh, Shekhar Yadav, Nitesh Tiwari

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 30, 2025

Abstract Load frequency control (LFC) systems in power grids face challenges maintaining stability while managing computational complexity. This research presents an optimized approach combining model order reduction techniques with Teaching Learning-Based Optimization (TLBO) for PID controller tuning single-area LFC systems. Three methods—Routh Approximation, Balanced Truncation, and Hankel Norm Approximation—were implemented to reduce system from 4th 2nd order, achieving a 47.3% time. The TLBO-optimized was compared conventional methods (Ziegler-Nichols, AMIGO, S-IMC, CHR), demonstrating superior performance 38.2% decrease settling time 42.7% peak overshoot. Routh Approximation method exhibited optimal minimum (2.8s) overshoot (8.4%). Sensitivity analysis revealed stable behavior phase margin maintained at 84.25 degrees across parameter variations. proposed achieved 56.8% Integral Square Error methods, establishing its effectiveness modern grid applications. provides robust framework implementing efficient load performance.

Language: Английский

Citations

2
Optimizing Battery and Supercapacitor Management in Electric Vehicles: A Hybrid Approach for Enhanced Performance and Reduced Harmonics DOI Creative Commons
Siva Ramkumar M,

S. Muthukrishnan,

Jayant Giri

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105815 - 105815

Published: Feb. 1, 2025

Language: Английский

Citations

1
Fuzzy Battery Manager: Charging and Balancing Rechargeable Battery Cells with Fuzzy Logic DOI Open Access
Adnan Shaout,

Zachary Brauchler

Electronics, Journal Year: 2025, Volume and Issue: 14(7), P. 1470 - 1470

Published: April 6, 2025

This paper presents the design, implementation, and testing of a fuzzy battery manager featuring novel hardware design. The system uses inference to charge balance two cells in series, integrating microcontroller charging IC demonstrate management with real hardware. It supports chemistries, showcasing how can be flexibly adapted different rechargeable technologies. successfully achieves its goal balancing high adaptability by simply adjusting membership functions. Its stability effectiveness on have been confirmed. offers significant potential across various industries. For example, replacement pack designed for longevity using LiFePO4 could serve as an alternative Li-Ion electric vehicles, especially since endure many more cycles, albeit lower densities. required functions this stored just few bytes ROM within pack, enabling seamless integration use existing vehicles systems.

Language: Английский

Citations

1
Innovative optimization of hybrid energy storage systems for electric vehicles: Integrating FBPINN-SAO to enhance performance and efficiency DOI

P. Aruna,

V. Vasan Prabhu,

V. Krishnakumar

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 108, P. 115021 - 115021

Published: Dec. 19, 2024

Language: Английский

Citations

6
New energy access, energy storage configuration and topology of public charging and swapping stations DOI Creative Commons

Zihua Ye,

Qingan Zhang, Jing Zhang

et al.

Journal of Computational Methods in Sciences and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 15, 2025

With the increasingly severe global energy crisis and environmental pollution problems, new vehicles, as an important alternative to traditional fuel have achieved rapid development. As of January 2024, total number charging infrastructure nationwide has reached 8.861 million units, a year-on-year increase 63.7%, there are 3624 battery swap stations. The popularity vehicles puts forward higher requirements for infrastructure. supply station public charging, swapping stations access, storage configuration, topology that directly affect efficiency, grid stability, economy. This paper profoundly studies topology. Analysis shows access significant advantages. Experimental data show in some areas with sufficient sunlight, using solar photovoltaic panels primary method can provide up 30% supply, significantly reducing operating costs carbon emissions. Energy system configuration is equally critical. By establishing optimization model, influence different devices on efficiency analyzed. results 100 kWh lithium-ion system, combined appropriate discharging strategies, improve utilization response speed, power support during peak hours, smooth fluctuations, stability.

Language: Английский

Citations

0
Battery supporting device to reduce current transients: co-design of the power stage and an adaptive control DOI Creative Commons
Juan Pablo Villegas-Ceballos, Carlos Andrés Ramos‐Paja, Daniel González Montoya

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105083 - 105083

Published: April 1, 2025

Language: Английский

Citations

0
An adaptive prediction method based on VMD-GRU for future driving condition of vehicle DOI
Yong Chen, Zeyu Song,

Yanmin Huang

et al.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 27, 2024

Driving conditions prediction plays an important role in energy-saving control strategy for electric vehicle. However, the complexity of changes road poses a great challenge to accurate driving condition. To address this problem, paper proposes adaptive Sliding Window (SW) and Gated Recurrent Unit (GRU) algorithm predict short period, enables adjust size SW promptly when change frequently. A smaller window is adopted case drastically changing speeds, larger smooth speeds. Firstly, Principal Component Analysis (PCA) k-means clustering are used construct sample with same characteristics. Then instantaneous frequency calculated by Hilbert transform Variational Mode Decomposition (VMD), optimal applicable different frequencies quantitatively calculated. The model provides precise predictions root mean square error (RMSE), absolute (MAE) percentage (MAPE) 0.8799, 0.5443 0.8362%, respective. ablation experiments show that improved GRU capture trends more accurately, improves accuracy robustness model.

Language: Английский

Citations

0