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SummaryCoulomb Counting (CC) method plays an important role in the state of charge (SOC) estimation theory of lithium‐ion batteries, and a lot of improvement and optimization strategies are based on it. With the increasing demand for precise management of lithium‐ion battery systems, the performance of the traditional CC method is no longer suitable for more complex working conditions. First, the battery aging, extreme temperature, and high‐rate discharging were considered as the main influencing factors which limit the SOC estimation accuracy of the CC method, and the performance degradation mechanism of the traditional CC method under the influence of the above factors are experimentally analyzed, especially the change of battery total dischargeable capacity after aging, and the change rules of key parameters in the CC equation are analyzed. Then the initial SOC and the total dischargeable capacity of the CC method are modified and estimated respectively to realize the accurate estimation of SOC under complex working conditions, especially the accurate SOC estimation during the whole life cycle of lithium‐ion batteries. The experimental results show that the improved CC method can effectively deal with complex working conditions, and the comprehensive estimation accuracy of SOC is within 3.6%.

SummaryCoulomb Counting (CC) method plays an important role in the state of charge (SOC) estimation theory of lithium‐ion batteries, and a lot of improvement and optimization strategies are based on it. With the increasing demand for precise management of lithium‐ion battery systems, the performance of the traditional CC method is no longer suitable for more complex working conditions. First, the battery aging, extreme temperature, and high‐rate discharging were considered as the main influencing factors which limit the SOC estimation accuracy of the CC method, and the performance degradation mechanism of the traditional CC method under the influence of the above factors are experimentally analyzed, especially the change of battery total dischargeable capacity after aging, and the change rules of key parameters in the CC equation are analyzed. Then the initial SOC and the total dischargeable capacity of the CC method are modified and estimated respectively to realize the accurate estimation of SOC under complex working conditions, especially the accurate SOC estimation during the whole life cycle of lithium‐ion batteries. The experimental results show that the improved CC method can effectively deal with complex working conditions, and the comprehensive estimation accuracy of SOC is within 3.6%.

This paper investigates the interactive relationships between oil price shocks and Chinese stock market using multivariate vector auto-regression. Oil price shocks do not show statistically significant impact on the real stock returns of most Chinese stock market indices, except for manufacturing index and some oil companies. Some "important" oil price shocks depress oil company stock prices. Increase in oil volatility may increase the speculations in mining index and petrochemicals index, which raise their stock returns. Both the world oil price shocks and China oil price shocks can explain much more than interest rates for manufacturing index.

This paper investigates the interactive relationships between oil price shocks and Chinese stock market using multivariate vector auto-regression. Oil price shocks do not show statistically significant impact on the real stock returns of most Chinese stock market indices, except for manufacturing index and some oil companies. Some "important" oil price shocks depress oil company stock prices. Increase in oil volatility may increase the speculations in mining index and petrochemicals index, which raise their stock returns. Both the world oil price shocks and China oil price shocks can explain much more than interest rates for manufacturing index.

Energy has a signifcant function in the sustainable development strategy of every country. Over the last three decades, scholars have attempted to examine energy– growth nexus in diferent countries and country groups using various explanatory variables. Trade openness based on the volume of trade has been commonly utilized in these estimations. However, recently, some scholars have highlighted the importance of export quality in the economic growth of nations, but there is no empirical evidence to support this claim. In this context, this empirical research intends to expand the energy–growth nexus by using export quality as an explanatory variable instead of trade openness in the sample of 10 newly industrialized countries (NICs). The empirical results verifed that export quality has a positive and crucial role in the economic growth of NICs. Based on these novel fndings, the study discussed policy implications to enhance export quality for achieving sustainable growth. WOS:000767018600001

Energy has a signifcant function in the sustainable development strategy of every country. Over the last three decades, scholars have attempted to examine energy– growth nexus in diferent countries and country groups using various explanatory variables. Trade openness based on the volume of trade has been commonly utilized in these estimations. However, recently, some scholars have highlighted the importance of export quality in the economic growth of nations, but there is no empirical evidence to support this claim. In this context, this empirical research intends to expand the energy–growth nexus by using export quality as an explanatory variable instead of trade openness in the sample of 10 newly industrialized countries (NICs). The empirical results verifed that export quality has a positive and crucial role in the economic growth of NICs. Based on these novel fndings, the study discussed policy implications to enhance export quality for achieving sustainable growth. WOS:000767018600001

Abstract This study investigates the impact of natural resources in the presence of research and development and energy prices on the improvement of financial development for the Group of Seven (G7) economies for the period of 1990–2017. In doing so, the study employs a cross-sectional dependence test, Westerlund cointegration approach, and Common Correlated Effect Mean Group methods. Moreover, for robustness checks, this study uses cross-sectionally augmented ARDL (CS-ARDL) and augmented mean group (AMG) tests. Unlike previous studies, our study uses a multidimensional approach to financial development, which captures the performance, accessibility, and depth of both financial institutions and markets. The outcomes indicate that natural resource abundance for G-7 countries helps expand financial development. In contrast, rising energy prices adversely affect the expansion of financial development. However, research and development expenditures increase financial development. From the empirical findings, this study suggests the promotion of research and development expenditures, control the increasing energy prices to further benefit from the abundance of natural resources in G-7 economies.

Abstract This study investigates the impact of natural resources in the presence of research and development and energy prices on the improvement of financial development for the Group of Seven (G7) economies for the period of 1990–2017. In doing so, the study employs a cross-sectional dependence test, Westerlund cointegration approach, and Common Correlated Effect Mean Group methods. Moreover, for robustness checks, this study uses cross-sectionally augmented ARDL (CS-ARDL) and augmented mean group (AMG) tests. Unlike previous studies, our study uses a multidimensional approach to financial development, which captures the performance, accessibility, and depth of both financial institutions and markets. The outcomes indicate that natural resource abundance for G-7 countries helps expand financial development. In contrast, rising energy prices adversely affect the expansion of financial development. However, research and development expenditures increase financial development. From the empirical findings, this study suggests the promotion of research and development expenditures, control the increasing energy prices to further benefit from the abundance of natural resources in G-7 economies.