2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific) 2014
DOI: 10.1109/itec-ap.2014.6941100
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Cited by 1 publication
(2 citation statements)
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“…Ismail and Toha in [148] develop the same process but uses a Thevenin ECM. Huachun et al in [151] calculated the parameters of a Thevenin ECM using a PSO algorithm and, by using a technique called second-order sliding mode observer, estimated SoC. The approach presented in [152] uses the PSO algorithm to estimate the second-order ECM parameters, but SoC is calculated using two different methods: EKF and the smooth variable structure filter (SVSF).…”
Section: Apply Crossover In the Populationmentioning
confidence: 99%
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“…Ismail and Toha in [148] develop the same process but uses a Thevenin ECM. Huachun et al in [151] calculated the parameters of a Thevenin ECM using a PSO algorithm and, by using a technique called second-order sliding mode observer, estimated SoC. The approach presented in [152] uses the PSO algorithm to estimate the second-order ECM parameters, but SoC is calculated using two different methods: EKF and the smooth variable structure filter (SVSF).…”
Section: Apply Crossover In the Populationmentioning
confidence: 99%
“…Huanchun et al in [151] propose an approach based on second-order sliding mode observer (SMO) for battery SoC estimation. The PSO technique is utilized to estimate the Thevenin ECM parameters.…”
Section: Other Estimation Techniquesmentioning
confidence: 99%