纯电动游览船锂电池组的控制策略
|
摘要
为提高纯电动游览船的续航能力,对其动力锂电池组的控制策略进行研究。针对桂林地区的新型纯电动游览船,设计一种基于锂电池组的供电系统拓扑结构,采用基于锂电池的荷电状态(SOC)、电压和电流多参数约束算法估计锂电池组的动态峰值功率;同时,结合船舶运行工况研发锂电池组控制策略,开发相应的控制系统,并进行实船测试。测试结果表明,该电池组控制策略能满足船舶在不同运行工况下对功率分配的需求,保证船舶稳定运行,并能有效地控制电池组的功率输出,充分利用电池组的剩余电量,提高船舶的续航能力。
To improve the endurance of the pure electric tour ship, the control strategy of the power lithium battery pack is studied. Aiming at a new type of pure electric sightseeing boat, which is navigated on the lake in Guilin, a topology of power supply system based on lithium battery pack is designed. The dynamic peak power of lithium battery pack is estimated according to the multi parameter constraint algorithm for charging state(SOC),voltage and current of lithium battery. The control strategy of lithium battery pack and the corresponding control system are developed, combined with the ship's running conditions to carry out the real ship test. The results show that the battery pack control strategy can meet the ship's power allocation requirements under different operating conditions, the stable operation of the ship can be ensured. The output power of the battery pack can be controlled effectively, which can make full use of the remaining power and improve the ship's cruising power.
To improve the endurance of the pure electric tour ship, the control strategy of the power lithium battery pack is studied. Aiming at a new type of pure electric sightseeing boat, which is navigated on the lake in Guilin, a topology of power supply system based on lithium battery pack is designed. The dynamic peak power of lithium battery pack is estimated according to the multi parameter constraint algorithm for charging state(SOC),voltage and current of lithium battery. The control strategy of lithium battery pack and the corresponding control system are developed, combined with the ship's running conditions to carry out the real ship test. The results show that the battery pack control strategy can meet the ship's power allocation requirements under different operating conditions, the stable operation of the ship can be ensured. The output power of the battery pack can be controlled effectively, which can make full use of the remaining power and improve the ship's cruising power.
引文
[1]刘继海,肖金超,魏三喜,等.绿色船舶的现状和发展趋势分析[J].船舶工程,2016,38(S2):33-37.
[2]李强,范慧芳.扬州运河水上生态旅游体验产品开发研究[J].生态科学,2016,35(6):171-175.
[3]朱蓉,孙荣斌.绿色船舶技术浅析[J].舰船科学技术,2002(6):21-25.
[4]柯耀星,刘阳.船舶造成空气污染成因分析及对策研究[J].舰船科学技术,2016,38(13):121-123.
[5]李静磊,孟宁,周峰.船舶电力推进技术的发展探究[J].电气技术与经济,2018(2):18-20.
[6]杨敬东,彭建虎,王智祥,等.长江电力推进游轮减振设计研究[J].船舶工程,2015,37(5):31-36.
[7]孙彦琰,高迪驹,褚建新.混合动力电动船舶模糊逻辑控制策略[J].船舶工程,2014,36(3):67-70.
[8]严新平,孙玉伟,袁成清.太阳能船舶技术应用现状及展望[J].船海工程,2016,45(1):50-54.
[9]卢晓平,魏光普,张文毓.太阳能动力船舶发展综述[J].海军工程大学学报,2008(4):45-50.
[10]冯文.燃料电池汽车氢能系统评价及北京案例分析[D].北京:清华大学,2003.
[11]谢旺.基于Thevenin等效电路模型的锂离子电池组SOC估算研究[D].上海:上海交通大学,2013.
[12]刘烨,郑燕萍,孙伟明,等.电动汽车电池技术发展综述[J].机械制造与自动化,2016,45(4):56-58.
[13]景义军,郭际,孟宪玲,等.汽车用锌空气动力电池研究现状[J].电源技术,2011,35(10):1302-1303.
[14]冯大强.电动汽车分布式储能控制策略及应用[J].时代汽车,2018(8):54-55.
[15]周念成,邓浩,王强钢,等.光伏与微型燃气轮机混合微网能量管理研究[J].电工技术学报,2012,27(1):74-84.
[16]李逢兵,谢开贵,张雪松,等.基于锂电池充放电状态的混合储能系统控制策略设计[J].电力系统自动化,2013,37(1):70-75.
[17]BALSAMO F,CAPASSO C,MICCIONE G,et al.Hybrid Storage System Control Strategy for All-Electric Powered Ships[J].Energy Procedia,2017,126:1083-1090.
[18]常玉岗.船用锂电池组电池管理系统研发[D].福建厦门:集美大学,2016.
[19]陈晨,王锡淮,冯昊,等.锂电池/超级电容器在电力推进船舶中的应用[J].船舶工程,2016,38(S2):186-190.
[20]SHEN J Y,DUSMEZ S,KHALIGH A.An Advanced Electro-thermal Cycle-Lifetime Estimation Model for Li Fe PO4 Batteries[C]//Transportation Electrification Conference and Expo IEEE.2013.
[21]常玉岗,王国玲,许顺孝,等.高可靠性的船用多重冗余锂电池管理系统研发[J].船舶工程,2016,38(4):31-34,90.
[22]TONG H,WANG J.Research on CHARGING and Discharging Control Strategy of Electric Vehicles and its Economic Benefit in Microgrid[C]//Power and Renewable Energy EEE.2017.
[23]俞万能,廖卫强,杨荣峰,等.基于太阳能锂电池及柴油发电机组的多能源(光柴储)船舶微网能量控制系统研发[J].中国造船,2017,58(1):170-176.
[24]侯艳雪.船舶电力推进系统建模与稳定性分析[D].哈尔滨:哈尔滨工程大学,2015.
[25]HU X S,XIONG R,BO E.Model-Based Dynamic Power Assessment of Lithium-Ion Batteries Considering Different Operating Conditions[C]//IEEE Transactions on Industrial Informatics,2014.
[26]PLETT G L.High-Performance Battery-Pack Power Estimation Using a Dynamic Cell Model[C]//IEEETransactions on Vehicular Technology.2004.
[27]SUN,F C,XIONG R,HE H W,et al.Model-based Dynamic Multi-Parameter Method for Peak Power Estimation of Lithium-Ion Batteries[J].Applied Energy,2012,96:378-386.
[28]孙逢春,张承宁.装甲车辆混合动力电传动技术[M].北京:国防工业出版社,2008.
[29]熊瑞.基于数据模型融合的电动车辆动力电池组状态估计研究[D].北京:北京理工大学,2014.
[30]张彩萍,张承宁,李军求.动力电池组峰值功率估计算法研究[J].系统仿真学报,2010,22(6):1524-1527.
[31]陈朝煌.太阳能游览船电池组SOC估算及续航里程研究[D].福建厦门:集美大学,2016.
[32]贾云璐.全电力船舶能量管理智能决策系统研究[D].哈尔滨:哈尔滨工程大学,2016.
[2]李强,范慧芳.扬州运河水上生态旅游体验产品开发研究[J].生态科学,2016,35(6):171-175.
[3]朱蓉,孙荣斌.绿色船舶技术浅析[J].舰船科学技术,2002(6):21-25.
[4]柯耀星,刘阳.船舶造成空气污染成因分析及对策研究[J].舰船科学技术,2016,38(13):121-123.
[5]李静磊,孟宁,周峰.船舶电力推进技术的发展探究[J].电气技术与经济,2018(2):18-20.
[6]杨敬东,彭建虎,王智祥,等.长江电力推进游轮减振设计研究[J].船舶工程,2015,37(5):31-36.
[7]孙彦琰,高迪驹,褚建新.混合动力电动船舶模糊逻辑控制策略[J].船舶工程,2014,36(3):67-70.
[8]严新平,孙玉伟,袁成清.太阳能船舶技术应用现状及展望[J].船海工程,2016,45(1):50-54.
[9]卢晓平,魏光普,张文毓.太阳能动力船舶发展综述[J].海军工程大学学报,2008(4):45-50.
[10]冯文.燃料电池汽车氢能系统评价及北京案例分析[D].北京:清华大学,2003.
[11]谢旺.基于Thevenin等效电路模型的锂离子电池组SOC估算研究[D].上海:上海交通大学,2013.
[12]刘烨,郑燕萍,孙伟明,等.电动汽车电池技术发展综述[J].机械制造与自动化,2016,45(4):56-58.
[13]景义军,郭际,孟宪玲,等.汽车用锌空气动力电池研究现状[J].电源技术,2011,35(10):1302-1303.
[14]冯大强.电动汽车分布式储能控制策略及应用[J].时代汽车,2018(8):54-55.
[15]周念成,邓浩,王强钢,等.光伏与微型燃气轮机混合微网能量管理研究[J].电工技术学报,2012,27(1):74-84.
[16]李逢兵,谢开贵,张雪松,等.基于锂电池充放电状态的混合储能系统控制策略设计[J].电力系统自动化,2013,37(1):70-75.
[17]BALSAMO F,CAPASSO C,MICCIONE G,et al.Hybrid Storage System Control Strategy for All-Electric Powered Ships[J].Energy Procedia,2017,126:1083-1090.
[18]常玉岗.船用锂电池组电池管理系统研发[D].福建厦门:集美大学,2016.
[19]陈晨,王锡淮,冯昊,等.锂电池/超级电容器在电力推进船舶中的应用[J].船舶工程,2016,38(S2):186-190.
[20]SHEN J Y,DUSMEZ S,KHALIGH A.An Advanced Electro-thermal Cycle-Lifetime Estimation Model for Li Fe PO4 Batteries[C]//Transportation Electrification Conference and Expo IEEE.2013.
[21]常玉岗,王国玲,许顺孝,等.高可靠性的船用多重冗余锂电池管理系统研发[J].船舶工程,2016,38(4):31-34,90.
[22]TONG H,WANG J.Research on CHARGING and Discharging Control Strategy of Electric Vehicles and its Economic Benefit in Microgrid[C]//Power and Renewable Energy EEE.2017.
[23]俞万能,廖卫强,杨荣峰,等.基于太阳能锂电池及柴油发电机组的多能源(光柴储)船舶微网能量控制系统研发[J].中国造船,2017,58(1):170-176.
[24]侯艳雪.船舶电力推进系统建模与稳定性分析[D].哈尔滨:哈尔滨工程大学,2015.
[25]HU X S,XIONG R,BO E.Model-Based Dynamic Power Assessment of Lithium-Ion Batteries Considering Different Operating Conditions[C]//IEEE Transactions on Industrial Informatics,2014.
[26]PLETT G L.High-Performance Battery-Pack Power Estimation Using a Dynamic Cell Model[C]//IEEETransactions on Vehicular Technology.2004.
[27]SUN,F C,XIONG R,HE H W,et al.Model-based Dynamic Multi-Parameter Method for Peak Power Estimation of Lithium-Ion Batteries[J].Applied Energy,2012,96:378-386.
[28]孙逢春,张承宁.装甲车辆混合动力电传动技术[M].北京:国防工业出版社,2008.
[29]熊瑞.基于数据模型融合的电动车辆动力电池组状态估计研究[D].北京:北京理工大学,2014.
[30]张彩萍,张承宁,李军求.动力电池组峰值功率估计算法研究[J].系统仿真学报,2010,22(6):1524-1527.
[31]陈朝煌.太阳能游览船电池组SOC估算及续航里程研究[D].福建厦门:集美大学,2016.
[32]贾云璐.全电力船舶能量管理智能决策系统研究[D].哈尔滨:哈尔滨工程大学,2016.