Agent Control Technology for Hybrid Electric Vehicle Multi-Energy Powertrain

Abstract

Abstract:

Abstract： A multi-agent coordinated control method for hybrid electric vehicle (HEV) powertrain was proposed to improve the intelligent control, fuel economy and power performance of HEV. Taking the parallel HEV as prototype, agent models of parts subsystem were set up, and coordinated control framework of multiagent system was constructed. Pre-matching of assembly power was conducted according to different drive cycles. The adaptive problem of complex road condition was resolved by using intelligent active of single agent and cooperation ability of multi-agent. Simulation verification was carried out based on Cruise. The result shows that the multi-agent coordinated control strategy is valid and feasible. The HEV adapts its control model according to different drive cycles, further improving the vehicle fuel economy and power performance.

Key words: , agent； powertrain； hybrid electric vehicle； coordinated control

CLC Number:

TP 273

NIU Limin，YE Lijun，RUAN Xiaodong. Agent Control Technology for Hybrid Electric Vehicle Multi-Energy Powertrain[J]. Journal of Shanghai Jiaotong University, 2015, 49(08): 1108-1113.

References

［1］郑永霞, 赵峰, 罗禹贡, 等. 装备CVT的中度混合动力轿车驱动工况下的能量优化策略［J］. 汽车工程, 2014，36(1)：26.

ZHENG Yongxia, ZHAO Feng, LUO Yugong, et al. Energy optimization strategy for the mild hybrid electric vehicle with CVT under drive conditions［J］. Automotive Engineering，2014，36(1)：26.

［2］许世景, 吴志新. 基于PMP的HEV全局最优能量管理策略研究［J］. 中国机械工程，2014，25(1)：138141.

XU Shijing, WU Zhixin. Investigation of global optimization energy management strategy of HEV based on PMP［J］. China Mechanical Engineering, 2014，25(1)：138141.

［3］Viktor L, Lars J M, Bo E, et al. Commuter route optimized energy management of hybrid electric vehicles［J］. IEEE Transactions on Intelligent Transportation Systems，2014，15(3)：11451154.

［4］Torres J L, Gonzalez R, Gimenez A, et al. Energy management strategy for plugin hybrid electric vehicles: A comparative study［J］. Applied Energy, 2014，113： 816824.

［5］Sciarretta A, Serrao L, Dewangan P C, et al. A control benchmark on the energy management of a plugin hybrid electric vehicle［J］. Control Engineering Practice, 2014， 29： 287298.

［6］Hillol K R, Andrew M, Paul A J. A generalized powertrain design optimization methodology to reduce fuel economy variability in hybrid electric vehicles［J］. IEEE Transactions on Vehicular Technology, 2014， 63(3)：10551070.

［7］Rakesh M P, Zoran F, Hosam K F. Comparison of supervisory control strategies for series plugin hybrid electric vehicle powerstrains through dynamic programming［J］. IEEE Transactions on Control Systems Technology，2014，22(2)：502509.

［8］朱建新, 申其壮, 姜国权, 等. 四轮驱动混合动力汽车整车控制策略优化［J］. 上海交通大学学报，2008，42(8)：13141318.

ZHU Jianxin, SHEN Qizhuang, JIANG Guoquan, et al. Optimization of control strategy for the hybrid control unit of 4WD hybrid electric vehicle［J］. Journal of Shanghai Jiaotong University, 2008，42(8)：13141318.

［9］杜波, 秦大同, 段志辉, 等. 新型并联式混合动力汽车模式切换协调控制［J］. 中国机械工程, 2012, 23(6)：739744.

DU Bo, QIN Datong, DUAN Zhihui, et al. Coordinated control for modeswitch of a new parallel HEV［J］. China Mechanical Engineering, 2012，23(6)：739744.

［10］张毅, 刘和平, 伍元彪. 并联混合动力汽车模糊多目标控制策略［J］. 重庆大学学报，2013，36(2)：7584.

ZHANG Yi, LIU Heping, WU Yuanbiao. Multiobjective control strategy for parallel HEV using fuzzy logic［J］. Journal of Chongqing University, 2013， 36(2)：7584.

［11］Kum D, Peng H, Bucknor N K. Control of enginestarts for optimal drivability of parallel hybrid electric vehicles［J］. Journal of Dynamic Systems, Measurement，and Control，2013，135(2)：110.

［12］刘鑫, 于振中, 郑为凑, 等. 多机器人远程监控系统的多智能体控制结构［J］. 计算机工程, 2014，40(2)： 153157.

LIU Xin, YU Zhenzhong, ZHENG Weicou, et al. Multiagent control structure of multirobot remote monitoring system［J］. Computer Engineering, 2014， 40(2)：153157.

［13］朱琼, 陈雪芳, 张洁. 面向代理的车间动态调度方法［J］. 上海交通大学学报，2008，42(7)：10461050.

ZHU Qiong, CHEN Xuefang, ZHANG Jie. Multiagent based dynamic job shop scheduling method［J］. Journal of Shanghai Jiaotong University, 2008，42(7)： 10461050.

［14］王向华, 陈特放. 智能体技术在公交调度系统中的应用［J］. 中南大学学报：自然科学版, 2013, 44(8)： 35393545.

WANG Xianghua, CHEN Tefang. Application of intelligent public transportation dispatch system based on agent［J］. Journal of Central South University：Science and Technology，2013，44(8)：35393545.

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