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Cited by 351 publications
(117 citation statements)
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“…It would result in a large error in this case. Consequently, most of the literatures use only the 20%-80% of SOC information [9,40]. It can be seen from Figure 8(b) that LPSO and ARDPSO have relatively small errors as the value of SOC is in between 20% and 80%.…”
Section: Effectiveness Verificationmentioning
confidence: 99%
“…It would result in a large error in this case. Consequently, most of the literatures use only the 20%-80% of SOC information [9,40]. It can be seen from Figure 8(b) that LPSO and ARDPSO have relatively small errors as the value of SOC is in between 20% and 80%.…”
Section: Effectiveness Verificationmentioning
confidence: 99%
“…It is important to set a proper value of R k and Q k to let the algorithm work properly. In the present case, the model input and output are presented in Equations (26) and (27):…”
Section: Extended Kalman Filter Algorithmmentioning
confidence: 99%
“…The combined use of these two devices allows for applying different user defined charging/discharging profiles to meet the need to study the battery behaviour in specific working conditions. Battery testing system manufacturers provide equipment with integrated multi-channel charging/discharging units, managed with dedicated proprietary software [27].…”
Section: Testing Equipmentmentioning
confidence: 99%
“…UKF is an updated version of EKF that applies a discrete-time filtering algorithm and unscented transform to solve filtering problems. UKF based on unscented transformation was proposed to avoid the weakness of Taylor series expansion compared to EKF [45,92,101]. The UKF approach for SOC estimation is shown in Table 6.…”
Section: (5) Unscented Kalman Filteringmentioning
confidence: 99%