Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313466182> ?p ?o ?g. }
- W4313466182 endingPage "23" @default.
- W4313466182 startingPage "23" @default.
- W4313466182 abstract "Real-time battery SOX estimation including the state of charge (SOC), state of energy (SOE), and state of health (SOH) is the crucial evaluation indicator to assess the performance of automotive battery management systems (BMSs). Recently, intelligent models in terms of deep learning (DL) have received massive attention in electric vehicle (EV) BMS applications due to their improved generalization performance and strong computation capability to work under different conditions. However, estimation of accurate and robust SOC, SOH, and SOE in real-time is challenging since they are internal battery parameters and depend on the battery’s materials, chemical reactions, and aging as well as environmental temperature settings. Therefore, the goal of this review is to present a comprehensive explanation of various DL approaches for battery SOX estimation, highlighting features, configurations, datasets, battery chemistries, targets, results, and contributions. Various DL methods are critically discussed, outlining advantages, disadvantages, and research gaps. In addition, various open challenges, issues, and concerns are investigated to identify existing concerns, limitations, and challenges. Finally, future suggestions and guidelines are delivered toward accurate and robust SOX estimation for sustainable operation and management in EV operation." @default.
- W4313466182 created "2023-01-06" @default.
- W4313466182 creator A5000778938 @default.
- W4313466182 creator A5002865954 @default.
- W4313466182 creator A5028351092 @default.
- W4313466182 creator A5035886422 @default.
- W4313466182 creator A5062069297 @default.
- W4313466182 creator A5068373268 @default.
- W4313466182 creator A5072301467 @default.
- W4313466182 creator A5087756492 @default.
- W4313466182 date "2022-12-20" @default.
- W4313466182 modified "2023-09-26" @default.
- W4313466182 title "Intelligent SOX Estimation for Automotive Battery Management Systems: State-of-the-Art Deep Learning Approaches, Open Issues, and Future Research Opportunities" @default.
- W4313466182 cites W1901616594 @default.
- W4313466182 cites W2056150265 @default.
- W4313466182 cites W2079985616 @default.
- W4313466182 cites W2118023920 @default.
- W4313466182 cites W2165344987 @default.
- W4313466182 cites W2201263372 @default.
- W4313466182 cites W2219501311 @default.
- W4313466182 cites W2342265232 @default.
- W4313466182 cites W2587507211 @default.
- W4313466182 cites W2755729630 @default.
- W4313466182 cites W2766784949 @default.
- W4313466182 cites W2776458183 @default.
- W4313466182 cites W2790596267 @default.
- W4313466182 cites W2791067576 @default.
- W4313466182 cites W2792524465 @default.
- W4313466182 cites W2806093124 @default.
- W4313466182 cites W2869176142 @default.
- W4313466182 cites W2885578090 @default.
- W4313466182 cites W2890169947 @default.
- W4313466182 cites W2890209713 @default.
- W4313466182 cites W2890489016 @default.
- W4313466182 cites W2894234546 @default.
- W4313466182 cites W2896294159 @default.
- W4313466182 cites W2912511381 @default.
- W4313466182 cites W2920560441 @default.
- W4313466182 cites W2922306207 @default.
- W4313466182 cites W2941419825 @default.
- W4313466182 cites W2945781794 @default.
- W4313466182 cites W2955325445 @default.
- W4313466182 cites W2955355093 @default.
- W4313466182 cites W2957056027 @default.
- W4313466182 cites W2962135525 @default.
- W4313466182 cites W2968446814 @default.
- W4313466182 cites W2968677983 @default.
- W4313466182 cites W2973525777 @default.
- W4313466182 cites W2973538758 @default.
- W4313466182 cites W2999399290 @default.
- W4313466182 cites W3005124815 @default.
- W4313466182 cites W3007658705 @default.
- W4313466182 cites W3009077662 @default.
- W4313466182 cites W3010779281 @default.
- W4313466182 cites W3011789766 @default.
- W4313466182 cites W3012075351 @default.
- W4313466182 cites W3012309884 @default.
- W4313466182 cites W3012958665 @default.
- W4313466182 cites W3013372615 @default.
- W4313466182 cites W3014259513 @default.
- W4313466182 cites W3019324730 @default.
- W4313466182 cites W3027324516 @default.
- W4313466182 cites W3035704836 @default.
- W4313466182 cites W3037516875 @default.
- W4313466182 cites W3039675180 @default.
- W4313466182 cites W3042713179 @default.
- W4313466182 cites W3043289899 @default.
- W4313466182 cites W3045467817 @default.
- W4313466182 cites W3046489877 @default.
- W4313466182 cites W3047827241 @default.
- W4313466182 cites W3083966625 @default.
- W4313466182 cites W3084393668 @default.
- W4313466182 cites W3087709927 @default.
- W4313466182 cites W3094156519 @default.
- W4313466182 cites W3098891345 @default.
- W4313466182 cites W3110114198 @default.
- W4313466182 cites W3119025527 @default.
- W4313466182 cites W3119768927 @default.
- W4313466182 cites W3121501531 @default.
- W4313466182 cites W3122696643 @default.
- W4313466182 cites W3128027446 @default.
- W4313466182 cites W3138581309 @default.
- W4313466182 cites W3140618672 @default.
- W4313466182 cites W3156137414 @default.
- W4313466182 cites W3163825029 @default.
- W4313466182 cites W3163947653 @default.
- W4313466182 cites W3172280330 @default.
- W4313466182 cites W3174812422 @default.
- W4313466182 cites W3177622370 @default.
- W4313466182 cites W3179408265 @default.
- W4313466182 cites W3194090521 @default.
- W4313466182 cites W4200021389 @default.
- W4313466182 cites W4200390501 @default.
- W4313466182 cites W4205629695 @default.
- W4313466182 cites W4214768281 @default.
- W4313466182 cites W4223441604 @default.
- W4313466182 cites W4223901999 @default.
- W4313466182 cites W4249242116 @default.