Research on Energy-Saving Control Strategy of Nonlinear Thermal Management System for Electric Tractor Power Battery Under Plowing Conditions DOI Creative Commons
Xiaoshuang Guo,

Ruiliang Xu,

Junjiang Zhang

et al.

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(5), P. 249 - 249

Published: April 25, 2025

To address the issue of over-regulation temperature a liquid-cooled power battery thermal management system under plowing condition electric tractors, which leads to high energy consumption, nonlinear model prediction control (NMPC) algorithm for tractors applicable is proposed. Firstly, control-oriented tractor heat production and transfer were established based on operating conditions Bernardi’s theory production. Secondly, in order improve accuracy prediction, method future working information moving average Finally, predictive cooling optimization strategy proposed, with objectives quickly achieving regulation reducing compressor consumption. The proposed validated by simulation hardware-in-the-loop (HIL) testbed. results show that NMPC can better, holding phase reduces speed variation range 24.6% compared PID, it consumption 23.1% whole phase.

Language: Английский

Integrated liquid-cooled battery module with dual functions: Thermal runaway suppression and early warning via flexible pressure sensors DOI
Ruixin Ma, Weixiong Wu, Zekun Jiang

et al.

International Journal of Thermal Sciences, Journal Year: 2025, Volume and Issue: 214, P. 109908 - 109908

Published: April 4, 2025

Language: Английский

Citations

0
Research on Energy-Saving Control Strategy of Nonlinear Thermal Management System for Electric Tractor Power Battery Under Plowing Conditions DOI Creative Commons
Xiaoshuang Guo,

Ruiliang Xu,

Junjiang Zhang

et al.

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(5), P. 249 - 249

Published: April 25, 2025

To address the issue of over-regulation temperature a liquid-cooled power battery thermal management system under plowing condition electric tractors, which leads to high energy consumption, nonlinear model prediction control (NMPC) algorithm for tractors applicable is proposed. Firstly, control-oriented tractor heat production and transfer were established based on operating conditions Bernardi’s theory production. Secondly, in order improve accuracy prediction, method future working information moving average Finally, predictive cooling optimization strategy proposed, with objectives quickly achieving regulation reducing compressor consumption. The proposed validated by simulation hardware-in-the-loop (HIL) testbed. results show that NMPC can better, holding phase reduces speed variation range 24.6% compared PID, it consumption 23.1% whole phase.

Language: Английский

Citations

0