Recently, urban high temperature phenomenon has become a problem which results from human activities, the increase in energy consumption, and land-cover change in urban areas. As extremely hot weather caused by urban ...Recently, urban high temperature phenomenon has become a problem which results from human activities, the increase in energy consumption, and land-cover change in urban areas. As extremely hot weather caused by urban high temperature continues, demand for power is increased and results in the degradation of electricity reserves. The current trend in climate change, regardless of the summer and winter power demand, is likely to have much effect on the power demand. Thus, sensitivity to electricity consumption in urban areas due to climate change was researched. The results show that, 1） the basic unit of the sensitivity to electricity consumption in the target areas is 1.25-1.58W/（m2.℃）; 2） The maximum sensitivity is recorded at around 8：00 pm in the area crowded with commercial and business area. And in the business area, electricity consumption load is even from 9：00 am to 6：00 pm.展开更多
Due to soaring fuel prices and environmental concerns, hybrid electric vehicle(HEV) technology attracts more attentions in last decade. Energy management system, configuration of HEV and traffic conditions are the mai...Due to soaring fuel prices and environmental concerns, hybrid electric vehicle(HEV) technology attracts more attentions in last decade. Energy management system, configuration of HEV and traffic conditions are the main factors which affect HEV's fuel consumption, emission and performance. Therefore, optimal management of the energy components is a key element for the success of a HEV. An optimal energy management system is developed for HEV based on genetic algorithm. Then, different powertrain system component combinations effects are investigated in various driving cycles. HEV simulation results are compared for default rule-based, fuzzy and GA-fuzzy controllers by using ADVISOR. The results indicate the effectiveness of proposed optimal controller over real world driving cycles. Also, an optimal powertrain configuration to improve fuel consumption and emission efficiency is proposed for each driving condition. Finally, the effects of batteries in initial state of charge and hybridization factor are investigated on HEV performance to evaluate fuel consumption and emissions. Fuel consumption average reduction of about 14% is obtained for optimal configuration data in contrast to default configuration. Also results indicate that proposed controller has reduced emission of about 10% in various traffic conditions.展开更多
为进一步提高电动车辆队列行驶的经济性、降低车用动力电池的容量衰减,对某电动货车队列开展了行驶速度规划研究.首先建立了电动货车的单车能耗模型;然后基于此单车能耗模型、固定车头间距的跟车间距策略,以及拟合得到的不同间距下队列...为进一步提高电动车辆队列行驶的经济性、降低车用动力电池的容量衰减,对某电动货车队列开展了行驶速度规划研究.首先建立了电动货车的单车能耗模型;然后基于此单车能耗模型、固定车头间距的跟车间距策略,以及拟合得到的不同间距下队列中各车的气动阻力系数,建立了队列的能耗模型;接着以队列能量消耗最低为优化目标,以行程时间和道路限速为约束,采用交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)对队列进行了行驶速度规划;最后仿真研究了规划速度对队列行驶能耗和车辆动力电池容量衰减的影响.研究结果表明:相比于队列按定速巡航与基于坡度加速度的二次规划车速行驶,队列按ADMM规划车速行驶可分别使电动汽车节能9.29%和7.75%,且随着行驶里程的增加,以ADMM规划车速行驶的节能效果愈加明显;车辆队列运行1年后,ADMM规划车速行驶的电池容量衰减相比其他2种规划行驶分别下降9.69%和2.54%,即采用ADMM规划车速行驶可以减缓电池的老化速度,且随着时间的推移,在这3种行驶速度下的电池容量衰减差异越来越大.展开更多
基金Project(NRF-20110030631) supported by the National Research Foundation of Korea Grant funded by the Korean Government
文摘Recently, urban high temperature phenomenon has become a problem which results from human activities, the increase in energy consumption, and land-cover change in urban areas. As extremely hot weather caused by urban high temperature continues, demand for power is increased and results in the degradation of electricity reserves. The current trend in climate change, regardless of the summer and winter power demand, is likely to have much effect on the power demand. Thus, sensitivity to electricity consumption in urban areas due to climate change was researched. The results show that, 1） the basic unit of the sensitivity to electricity consumption in the target areas is 1.25-1.58W/（m2.℃）; 2） The maximum sensitivity is recorded at around 8：00 pm in the area crowded with commercial and business area. And in the business area, electricity consumption load is even from 9：00 am to 6：00 pm.
文摘Due to soaring fuel prices and environmental concerns, hybrid electric vehicle(HEV) technology attracts more attentions in last decade. Energy management system, configuration of HEV and traffic conditions are the main factors which affect HEV's fuel consumption, emission and performance. Therefore, optimal management of the energy components is a key element for the success of a HEV. An optimal energy management system is developed for HEV based on genetic algorithm. Then, different powertrain system component combinations effects are investigated in various driving cycles. HEV simulation results are compared for default rule-based, fuzzy and GA-fuzzy controllers by using ADVISOR. The results indicate the effectiveness of proposed optimal controller over real world driving cycles. Also, an optimal powertrain configuration to improve fuel consumption and emission efficiency is proposed for each driving condition. Finally, the effects of batteries in initial state of charge and hybridization factor are investigated on HEV performance to evaluate fuel consumption and emissions. Fuel consumption average reduction of about 14% is obtained for optimal configuration data in contrast to default configuration. Also results indicate that proposed controller has reduced emission of about 10% in various traffic conditions.
文摘为进一步提高电动车辆队列行驶的经济性、降低车用动力电池的容量衰减,对某电动货车队列开展了行驶速度规划研究.首先建立了电动货车的单车能耗模型;然后基于此单车能耗模型、固定车头间距的跟车间距策略,以及拟合得到的不同间距下队列中各车的气动阻力系数,建立了队列的能耗模型;接着以队列能量消耗最低为优化目标,以行程时间和道路限速为约束,采用交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)对队列进行了行驶速度规划;最后仿真研究了规划速度对队列行驶能耗和车辆动力电池容量衰减的影响.研究结果表明:相比于队列按定速巡航与基于坡度加速度的二次规划车速行驶,队列按ADMM规划车速行驶可分别使电动汽车节能9.29%和7.75%,且随着行驶里程的增加,以ADMM规划车速行驶的节能效果愈加明显;车辆队列运行1年后,ADMM规划车速行驶的电池容量衰减相比其他2种规划行驶分别下降9.69%和2.54%,即采用ADMM规划车速行驶可以减缓电池的老化速度,且随着时间的推移,在这3种行驶速度下的电池容量衰减差异越来越大.
