Adaptive Optimisation-Based Strategy of a Battery/Supercapacitor System for EV

机译：电动汽车电池/超级电容器系统的基于自适应优化的策略

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Optimisation-based Energy Management Strategies for hybrid and electric vehicles have to face some issues for real-time applications. In this study,an online adaptive optimisation-based strategy is used for an electric vehicle with a Hybrid Energy Storage System including supercapacitors and batteries. The SCs voltage limitations are taken into account by using a feedback control. Indeed the voltage limitation is a key point for safe operations in the vehicle. A comparison with a more classical optimisation-based method is performed by simulations on a normalised driving cycle. The results point out a more effective behaviour of the adaptive strategy.

机译：用于混合动力和电动汽车的基于优化的能源管理策略在实时应用中必须面对一些问题。在这项研究中，基于在线自适应优化的策略用于带有混合动力储能系统（包括超级电容器和电池）的电动汽车。通过使用反馈控制，可以考虑SC的电压限制。实际上，电压限制是车辆安全运行的关键点。通过对标准化驾驶循环进行仿真，可以与基于经典优化的方法进行比较。结果指出了自适应策略的一种更有效的行为。

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《IEEE Vehicle Power and Propulsion Conference》|2015年|1-6|共6页
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Castaings A.; Lhomme W.; Trigui R.; Bouscayrol A.; Redondo-Iglesias E.;
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Batteries; Energy management; Integrated circuit modeling; Optimal control; Problem-solving; Vehicles;

机译：电池;能源管理;集成电路建模;最佳控制;解决问题;汽车;

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1. An Adaptive Energy Management Strategy for Fuel Cell/Battery/Supercapacitor Hybrid Energy Storage Systems of Electric Vehicles [J] . Qiao Zhang, Jiqiang Han, Gang Li, International Journal of Electrochemical Science . 2019,第4期

机译：电动汽车燃料电池/电池/超级电容器混合储能系统的自适应能量管理策略
2. An adaptive learning control strategy for standalone PV system with battery - supercapacitor hybrid energy storage system [J] . Chong Lee Wai, Wong Yee Wan, Rajkumar Rajprasad Kumar, Journal of power sources . 2018,第AUGa1期

机译：具有电池-超级电容器混合储能系统的独立光伏系统的自适应学习控制策略。
3. Implementation of an estimator-based adaptive sliding mode control strategy for a boost converter based battery/supercapacitor hybrid energy storage system in electric vehicles [J] . Wang Bin, Xu Jun, Xu Dan, Energy Conversion & Management . 2017,第nova期

机译：基于估计器的自适应滑模控制策略在电动汽车中基于升压转换器的电池/超级电容器混合储能系统的实现
4. Adaptive Optimisation-Based Strategy of a Battery/Supercapacitor System for EV [C] . Castaings A., Lhomme W., Trigui R., IEEE Vehicle Power and Propulsion Conference . 2015

机译：基于自适应优化的EV电池/超级电池系统的策略
5. Battery modeling and control design for power systems driven by battery/supercapacitor hybrid energy storage devices [D] . Jung, Hoeguk 2013

机译：由电池/超级电容器混合储能设备驱动的电力系统的电池建模和控制设计
6. Adaptive fractional order sliding mode control for Boost converter in the Battery/Supercapacitor HESS [O] . Jianlin Wang, Dan Xu, Huan Zhou, -1

机译：电池/超级电容器HESS中Boost转换器的自适应分数阶滑模控制
7. Optimal Adaptive Gain LQR-Based Energy Management Strategy for Battery–Supercapacitor Hybrid Power System [O] . Seydali Ferahtia, Ali Djeroui, Tedjani Mesbahi, 2021

机译：基于电池超级电容混合动力系统的最优自适应增益基于LQR的能量管理策略

Adaptive Optimisation-Based Strategy of a Battery/Supercapacitor System for EV

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