Knowledge-based economies (KBEs) are the most technologically-advanced industrialized economies in the world. Despite impressive renewable energy consumption (RNEC), economic development, and high gross domestic product per capita (GDPPC) records, weather patterns in these economies have worsened, causing serious concerns among the government and masses. Recognizing innovation in hybrid electrical vehicle-related technologies (IHEVRTs) as an essential tool for combating surging environmental damage, the KBEs have dedicated enormous financial resources towards novel ecological technologies associated with hybrid electric vehicles over the past two decades. The existing literature reflects a lack of theoretical and empirical information on whether IHEVRTs reduce carbon dioxide emissions (CO2e) in these economies. This work empirically explores the influence of expansionary monetary policy (EPMP), IHEVRTs, trade openness (TRDOPS), natural resources (NRs), contractionary monetary policy (CNMP), RNEC, GDPPC, contractionary commercial policy (CNCP), and CO2e in the KBEs for the period between 1990 and 2020. The findings signified that IHEVRTs, RNEC, CNMP, and CNCP reduced CO2e levels, while EPMP, NRs, TRDOPS, EPCP, and GDPPC raised CO2e levels. Ultimately, we suggest that KBEs should promote the utilization of hybrid electric vehicles, enhance green R&D spending, employ clean technology in natural resource extraction, and enact green monetary and commercial policies. 相似文献
Electric vehicles must be widely accepted because of environmental concerns and carbon restrictions. Previous research has looked at consumer policy preferences and their influence on electric vehicle adoption. However, none have investigated the impact of policies linked to battery recycling on electric vehicle adoption. This study used a discrete choice model (the panel-data mixed logit model) to evaluate 552 actual consumer choice data from Southwest China collected via an online questionnaire. Our results indicate that (1) 75% of respondents feel that electric vehicles enhance the environment and are eager to embrace them. However, the lack of strong recycling policies may hinder their adoption of electric vehicles. Specifically, the four battery recycling policies significantly impact electric vehicle adoption. (2) Consumers appreciate producer-oriented incentives more than consumer-oriented incentives to a lesser extent, such as mandated battery recycling policies and electric vehicle battery flow tracing policies. (3) Consumers place a larger willingness to pay on charging station density than vehicle attributes. (4) Regarding consumer heterogeneity, the usual young group in higher-rated cities prefers electric vehicles, while customers who own a car are more inclined to buy electric vehicles. Finally, more management insights and policy recommendations are provided based on these findings to help government and producer policymakers.
Abstract This paper proposes an improved means of estimation for the residual capacity of lead‐acid batteries used in electric vehicles. The residual capacity of batteries in commercial products is usually indicated by the state of charge (SOC) of the battery set, in terms of the measurement of amp‐hours, or roughly an instant voltage. More practical and accurate SOC in the operation of electric vehicles must consider the original capacity when the battery is first installed, capacity deficiency due to high discharge rate, capacity dissipated in internal resistance, and correcting parameters for the battery aging process. The proposed estimation techniques include the amp‐hours measurement weighted by a correction function of various discharge rates, the transient open‐circuit voltage measurement to compensate for the energy dissipation from internal resistance, and the reset of parameters in the linear function of SOC and open‐circuit voltage for the aging effect. A monitoring circuit with a programmable logic chip is implemented, and the experimental results show that a more accurate indication of SOC is achieved using the modified estimation techniques, namely a weighted ampere‐hour measurement with transient open‐circuit voltage combined with the aging effect. 相似文献
The electromagnetic compatibility of electric vehicles is not only the important technology issue in researches,development and industrialization of electric vehicles,but also the key research area of ... 相似文献
1.IntroductionContinuous fiber composite wire has been of great im-portance for its high market potential in recent decade.Lead-clad glass fiber(Pb-GF)composite wire can bewidely used in various fields,including grid plates in bat-teries for electric vehicles(EVs)and hybrid electric vehi-cles(HEVs),radiation protective grid plates and soundinsulation,due to its high tensile strength,good resis-tance to acid corrosion,sound electric conductivity,highdamping and radiation protection of lead[1… 相似文献
Over recent years, the number of battery electric vehicles (BEVs) has drastically increased due to new European Union (EU) regulations. These regulations force vehicle manufacturers to adjust their product range in order to fulfill the imposed carbon dioxide limits. Such an adjustment enforces the usage of battery electric vehicles. However, research into the optimal BEV architectures and topologies is still in progress. Therefore, the aim of this paper is an analysis of all the current electric vehicle topologies. From this analysis, the authors identify different basic battery shapes. Subsequently, these shapes are used to describe the impact of the battery on the passenger compartment. As an initial result of this analysis, the authors create a new denomination method, via which it is possible to cluster the battery topologies. In a second step, the collected data is clustered using the novel denomination method. Finally, this paper presents the benchmark topologies for the analyzed segments.
In the context of growing environmental concerns, hybrid-electric vehicles appear to be one of the most promising technologies for reducing fuel consumption and pollutant emissions. This paper presents a parametric study focused on variations of the size of the powertrain components, and optimization of the power split between the engine and electric motor with respect to fuel consumption. To take into account the ability of the engine to be turned off, and the energy consumed to start the engine, we consider a second state to represent the engine: this state permits to obtain a more realistic engine model than it is usually done. Results are obtained for a prescribed vehicle cycle thanks to a dynamic programming algorithm based on a reduced model, and furnish the optimal power repartition at each time step regarding fuel consumption under constraints on the battery state of charge, and may then be used to determine the best components of a given powertrain. To control the energy sources in real driving conditions, when the future is unknown, a real-time control strategy is used: the Equivalent Consumption Minimization Strategy (ECMS). In this strategy, the battery is being considered as an auxiliary reversible fuel reservoir, using a scaling parameter which can be deduced from dynamic programming results. Offline optimization results and ECMS are compared for a realistic hybrid vehicle application. 相似文献