Energy Management Strategy of Hybrid Energy Storage System Based on Road Slope Information

Hu, Tengda; Li, Yun‐Wu; Zhi, Zhang; Zhao, Ying; Liu, Dexiong

doi:10.3390/en14092358

Cited by 10 publications

(8 citation statements)

References 31 publications

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“…Continuous controllers are used in this case as potential controller types. Deterministic control approaches are used in the work of [27][28][29]. These are based on the principle that the battery must provide a particular basic load for the system and the supercapacitor has to deliver power or is charged, depending on the situation.…”

Section: State-of-the-artmentioning

confidence: 99%

“…These are based on the principle that the battery must provide a particular basic load for the system and the supercapacitor has to deliver power or is charged, depending on the situation. There are also some approaches that are based on an anticipated load profile [23] or route data; for example, the slope [29]. In both cases, these data are used to specify the desired state of charge of the supercapacitor, which is then followed by continuous optimisation [23] or deterministic control [29].…”

Section: State-of-the-artmentioning

confidence: 99%

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Approach for a Global Route-Based Energy Management System for Electric Vehicles with a Hybrid Energy Storage System

et al. 2023

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The usage of batteries and supercapacitors in the field of electric vehicles is becoming increasingly prominent in both research and development. Due to the complementary advantages of the two systems, high energy density, and high power density, a combined battery/supercapacitor system offers potential. To effectively utilise the potential of such a hybrid energy storage system (HESS), one requires an intelligent energy management system (EMS). The EMS is responsible for controlling the electrical power between the battery and the supercapacitor in such a way that the required power can be optimally distributed at all times (currently and in the future). For this purpose, the energy management system utilises information on the driving route and, based on this information, shall calculate a global strategy for the continuous power distribution. The controlled power distribution should take place in real time and be robust against discrepancies so that unpredictable or unreliably predictable events do not significantly influence the functionality. For the implementation of the concept, a rule-based power distribution is implemented in combination with a predictive energy management. Here, the energy management is combined with a rule-based strategy calculation based on data on the route to be driven with a global optimization for the calculation of a route-specific strategy. Depending on the selected objective, the increase in energy efficiency, or lifetime, the operation of the power control is optimised. Due to the functional separation, the continuous power control can operate in real time, while more computational time can be spent on the calculations of the power management strategy, which accordingly does not need to be executed in real time. The results show that by using the presented EMS, especially in combination with a route-specific parameterisation, a significant effect on the energy efficiency and/or battery lifetime can be achieved. The average battery energy consumption can be reduced by up to 9.14% on urban routes. Regarding battery lifetime, the average battery usage can be reduced up to 13.35% and the battery energy losses even up to 62.72%.

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Section: State-of-the-artmentioning

confidence: 99%

Section: State-of-the-artmentioning

confidence: 99%

Approach for a Global Route-Based Energy Management System for Electric Vehicles with a Hybrid Energy Storage System

et al. 2023

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“…The parallel connection of the two power sources not only optimizes the working environment of the battery but also effectively reduces the damage caused by the high-current discharge. Moreover, after the two power supplies are connected in parallel, the internal resistance will be reduced, the loss will be reduced accordingly, the time constant will be shortened, and the charging and discharging efficiency and response speed of the system will be greatly improved [4][5][6] .…”

Section: Hybrid Power Structure Designmentioning

confidence: 99%

“…These rules can be converted into computer language to realize automatic control, which belongs to intelligent control. For solving nonlinear problems whose mathematical model is not clear, it is more convenient to use fuzzy control [5][6] . The control system takes the bus voltage error Ue and its voltage error change rate Uec as the system input and takes the input pulse duty cycle D of the switching tube as the controlled output.…”

Section: The Design Of the Control Systemmentioning

confidence: 99%

Design of Hybrid Power Chassis System Based on Fuzzy Control

Luo

Zhang

2023

J. Phys.: Conf. Ser.

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For wheeled robots working in environments such as sand and slopes, due to the many ups and downs in the environment, they often encounter working states such as acceleration and climbing. This often requires its power supply to provide instantaneous high power, resulting in a large current discharge of the power supply, which seriously affects its service life. To solve this problem, this paper will use a composite power supply composed of supercapacitors and batteries to supply power to the robot chassis and use fuzzy control to perform closed-loop regulation on the output power of the batteries.

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“…A study by Komorovska et al presented the results of studies of simulated driving cycles and the performance of the algorithm when applied to real recorded driving cycles of an electric vehicle [44]. Possibilities of using a traction system consisting of a battery and a superconductor to increase the range based on processing topographic data on road gradients is dealt with in a paper by Hu et al [45].…”

Section: Literature Reviewmentioning

confidence: 99%

Research into the Impacts of Driving Cycles and Load Weight on the Operation of a Light Commercial Electric Vehicle

et al. 2021

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The European Parliament has adopted Directive 2019/1161 on the promotion of environmentally friendly and energy-efficient road transport vehicles, which also defines the obligations and forms of support for the procurement of environmentally friendly vehicles in urban logistics. The increase in the number of shipments delivered within e-commerce, which is also the result of the COVID-19 pandemic, requires a transition to a sustainable logistics system. New research questions are being raised in the preparation of new projects for the introduction of small electric commercial vehicles in particular. One of the main research questions about deployment itself is whether light commercial electric vehicles are able to fully replace conventionally powered vehicles. What operating conditions are optimal for the operation of them? How does load weight affect the energy efficiency of operating a light commercial electric vehicle? The authors decided to carry out research into the impacts of weight and the nature of a driving cycle under laboratory conditions to eliminate all external factors that could distort individual measurements and their results. In order to simulate driving cycles, an urban driving cycle was designed on the basis of the course of speed, acceleration, deceleration and slope conditions of roads in the selected regional city of Žilina (Slovakia). In the case of the operation of an electrically powered light commercial vehicle, the impact of load weight on the range of the vehicle is low, and is below the level of the theoretical maximum range of the vehicle in urban logistics applications. The operation of electrically powered vehicles in hilly terrains with relatively longer gradients and steeper slopes increases electricity consumption and, thereby, reduces their range.

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Energy Management Strategy of Hybrid Energy Storage System Based on Road Slope Information

Cited by 10 publications

References 31 publications

Approach for a Global Route-Based Energy Management System for Electric Vehicles with a Hybrid Energy Storage System

Approach for a Global Route-Based Energy Management System for Electric Vehicles with a Hybrid Energy Storage System

Design of Hybrid Power Chassis System Based on Fuzzy Control

Research into the Impacts of Driving Cycles and Load Weight on the Operation of a Light Commercial Electric Vehicle

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