Publikationer pr. år
Publikationer pr. år
Chao Wang, Daniel Ioan Stroe, Jingsong Qiu, Shunli Wang, Wenhua Xu, Xiaoxia Li, Yang Li
Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Bidrag til bog/antologi › Forskning › peer review
In this chapter, the state of health (SOH) of aviation lithium-ion batteries is estimated from the perspective of ohmic internal resistance and capacity. The dual time scale Adaptive double extended kalman filter (ADEKF) algorithm based on extended Kalman filter is studied, and adaptive noise correction is introduced to solve the estimation error problem caused by variable system noise. State of charge (SOC) and SOH are estimated from two-time scales to avoid the impact of the fluctuation of SOC estimation on the capacity, resulting in a smaller time scale. Obtain ohmic internal resistance through RLS online parameter identification, and then obtain SOH value. Considering the advantages and disadvantages of ohmic resistance and capacitance estimation, a two-factor SOH estimation method is proposed. This method combines ohmic resistance and capacitance estimation to obtain the optimal solution for the health state.
Originalsprog | Engelsk |
---|---|
Titel | State Estimation Strategies in Lithium-ion Battery Management Systems |
Redaktører | Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez, Josep M. Guerrero |
Antal sider | 20 |
Forlag | Elsevier |
Publikationsdato | 2023 |
Sider | 313-332 |
Kapitel | 15 |
ISBN (Trykt) | 9780443161612 |
ISBN (Elektronisk) | 9780443161605 |
DOI | |
Status | Udgivet - 2023 |
Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › peer review