汽车工程
汽車工程
기차공정
AUTOMOTIVE ENGINEERING
2015年
7期
835-841,847
,共8页
巴特%高印寒%王庆年%曾小华
巴特%高印寒%王慶年%曾小華
파특%고인한%왕경년%증소화
混合动力客车%等效燃油消耗率%系统效率%控制规则%转矩分配
混閤動力客車%等效燃油消耗率%繫統效率%控製規則%轉矩分配
혼합동력객차%등효연유소모솔%계통효솔%공제규칙%전구분배
hybrid electric bus%equivalent specific fuel consumption%system efficiency%control rules%torque distribution
以一款ISG并联混合动力客车为对象,对比现存的两种系统效率最优控制算法,并提出一种改进控制算法。应用这3种算法确定行车充电模式切换规则和转矩分配规则,并进行对比仿真和硬件在环试验验证。结果显示,所提出的系统效率最优行车充电控制规则进一步提高了整车经济性;该规则在发动机低效工况行车充电,以相对高效的方式适度发电,既避免了大量能量的二次转化,又通过电机驱动替代发动机低效工作而实现节油。采用该控制规则时车辆的能量经济性比采用其他两种控制规则时分别提升了13%和20%,在验证了控制规则合理性的同时为系统效率最优控制算法的研究和应用提供了参考。
以一款ISG併聯混閤動力客車為對象,對比現存的兩種繫統效率最優控製算法,併提齣一種改進控製算法。應用這3種算法確定行車充電模式切換規則和轉矩分配規則,併進行對比倣真和硬件在環試驗驗證。結果顯示,所提齣的繫統效率最優行車充電控製規則進一步提高瞭整車經濟性;該規則在髮動機低效工況行車充電,以相對高效的方式適度髮電,既避免瞭大量能量的二次轉化,又通過電機驅動替代髮動機低效工作而實現節油。採用該控製規則時車輛的能量經濟性比採用其他兩種控製規則時分彆提升瞭13%和20%,在驗證瞭控製規則閤理性的同時為繫統效率最優控製算法的研究和應用提供瞭參攷。
이일관ISG병련혼합동력객차위대상,대비현존적량충계통효솔최우공제산법,병제출일충개진공제산법。응용저3충산법학정행차충전모식절환규칙화전구분배규칙,병진행대비방진화경건재배시험험증。결과현시,소제출적계통효솔최우행차충전공제규칙진일보제고료정차경제성;해규칙재발동궤저효공황행차충전,이상대고효적방식괄도발전,기피면료대량능량적이차전화,우통과전궤구동체대발동궤저효공작이실현절유。채용해공제규칙시차량적능량경제성비채용기타량충공제규칙시분별제승료13%화20%,재험증료공제규칙합이성적동시위계통효솔최우공제산법적연구화응용제공료삼고。
With a parallel ISG hybrid electric bus as object, two existing optimal control algorithms for sys-tem efficiency are compared, and a revised algorithm is proposed. Based on these three algorithms the corresponding driving charging mode switching rules and torque distribution rules are determined respectively with comparative sim-ulation and hardware-in-the-loop verification test conducted. The results indicate that the proposed driving charging control rule for optimal system efficiency further enhances vehicle energy economy. With the rule, when engine works in low-efficiency condition, driving charging performs with reasonable electricity generation in a relatively high efficient way. As a result, the secondary conversion of a large amount of energy is avoided, while the energy saving is achieved through replacing the low-efficient work of engine by motor drive. The energy economy of vehicle with the proposed control rule is 13% and 20% higher than that with two other control rules, verifying the rationality of the proposed control rule and providing references for the research and application of optimal control algorithm for system efficiency.