Parameter Estimation of Vehicle Batteries in V2G Systems: An Exogenous Function-Based Approach

The rapid introduction of electric vehicles (EVs) in the transportation market has initiated the concept of vehicle-to-grid (V2G) technology in smart grids. However, where V2G technology is intended to facilitate the power grid ancillary services, it could also have an adverse effect on the aging of battery packs in EVs. This is due to the instant depletion of power during the charge and discharge cycles, which could eventually impact the structural complexity and electrochemical operations in the battery pack. To address this situation, a median expectation-based regression approach is proposed for parameter estimation of vehicle batteries in V2G systems. The proposed method is built on the property of uncertainty prediction of Gaussian processes for parameter estimation while considering the cell variations as an exogenous function. First, a median expectation-based Gaussian process model is derived to predict the fused and individual cell variations of a battery pack. Second, a magnitude-squared coherence model is developed by the error matrix to detect and isolate each variation. This is obtained by extracting the cross-spectral densities for the measurements. The proposed regression-based approach is evaluated using experimental measurements collected from lithium-ion battery pack in EVs. The parametric analysis of the battery pack has been verified using D-SAT Chroma 8000ATS hardware platform. Performance evaluation shows an accurate estimation of these dynamics even in the presence of injected faults. 1982-2012 IEEE.Scopu

The effects of Nrf2 deletion on placental morphology and exchange capacity in the mouse

Objectives: Intrauterine growth restriction (IUGR) is defined as a pathological decreased fetal growth. Oxidative stress has been connected to the restriction in the fetal growth. The transcription factor nuclear factor-erythroid 2-related factor 2 (Nrf2) is a potent activator of the cellular antioxidant response. The effect Nrf2 on fetal–placental development has not yet been sufficiently investigated. Here, we evaluated the placental and fetal growth in Nrf2 knockout (Nrf2-KO) and Nrf2-wild type mice (Nrf2-WT) throughout pregnancy. Methods: Heterozygote Nrf2 (Nrf2+/−) mice were paired to get Nrf2-KO and Nrf2-WT in the litters. Placentae and embryos from both genotypes were collected and weighed on days 13.5, 15.5 and 18.5 post coitum. The absolute volumes of the labyrinth zone and the total volume of the placenta were determined using the Cavalieri principle. Results: On E 18.5 the fetal weight in Nrf2-KO was significantly reduced versus Nrf2-WT indicating a decrease in placental efficiency. A significant reduction in both total and labyrinth-volume in the placenta of Nrf2-KO mice was observed. Conclusion: This data points out the necessity of functional Nrf2 for fetal and placental growth. A deficiency in Nrf2 signaling may negatively affect nutrient transfer capacity which is then no longer able to meet fetal growth demands