A hybrid data-driven method optimized by physical rules for online state collaborative estimation of lithium-ion batteries.

MLA

Zhang, Ying, et al. “A Hybrid Data-Driven Method Optimized by Physical Rules for Online State Collaborative Estimation of Lithium-Ion Batteries.” Energy, vol. 301, Aug. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.energy.2024.131710.

APA

Zhang, Y., Gu, P., Duan, B., & Zhang, C. (2024). A hybrid data-driven method optimized by physical rules for online state collaborative estimation of lithium-ion batteries. Energy, 301, N.PAG. https://doi.org/10.1016/j.energy.2024.131710

Chicago

Zhang, Ying, Pingwei Gu, Bin Duan, and Chenghui Zhang. 2024. “A Hybrid Data-Driven Method Optimized by Physical Rules for Online State Collaborative Estimation of Lithium-Ion Batteries.” Energy 301 (August): N.PAG. doi:10.1016/j.energy.2024.131710.