Abstract
This paper proposes a multi-dimensional size optimization framework and a hierarchical energy management strategy (HEMS) to optimize the component size and the power of a plug-in hybrid electric vehicle (PHEV) with the hybrid energy storage system (HESS). In order to evaluate the performance of size optimization and power optimization, a PHEV with a battery energy storage system (BESS) is used as a comparison reference, and the dynamic programming (DP) algorithm is set as a benchmark for comparison. The size optimization method explores the optimal configuration of the system, including the maximum power of the system, the maximum power and capacity of the battery, and the maximum power and capacity of the supercapacitor (SC). Compared with the BESS, the size-optimized HESS reduces the capacity of the system by 31.3% and improves the economy by 37.8%. The HEMS can simultaneously optimize vehicle fuel consumption and suppress battery aging. Its upper layer uses the DP algorithm to optimize fuel economy, and the lower layer apply the linear programming (LP) method to improve battery life. Based on the size optimization results and HEMS, compared with the benchmark, the battery aging rate has been reduced by 48.9%, and the vehicle economy has increased by 21.2%.
Highlights
With the increasing awareness of global warming, energy shortages and environmental pollution have aroused people’s attention in the field of vehicles [1]
SIMULATION RESULTS AND DISCUSSION The plug-in hybrid electric vehicle (PHEV) studied in this paper is a bus driving on urban roads, so the Chinese typical urban driving cycle (CTUDC) is selected as the test driving cycle
When the ODP strategy is applied to B-PHEV energy management, the simulation results show that the aging cost of the battery is reduced by 38.4%, but fuel consumption is increased by 17.4% compared to the benchmark
Summary
With the increasing awareness of global warming, energy shortages and environmental pollution have aroused people’s attention in the field of vehicles [1]. Compared with the battery energy storage system (BESS), the HESS have the characteristics of high-power density and high cycle life, which will effectively improve the overall performance of the vehicle. In order to simultaneously optimize the vehicle’s fuel economy and ESU service life, this paper proposes a hierarchical energy management strategy (HEMS) for power distribution of a PHEV with the HESS. This paper proposes a multi-dimensional size optimization framework, which is different from existing researches It can simultaneously determine the maximum power of the system, the maximum power and capacity of the battery, and the maximum power and capacity of the SC under the constraints of power and energy requirements and battery life decay rate. In order to give full play to the performance of the energy storage system and reduce the total operating cost of the vehicle, this paper optimizes the power and size of the HESS in a PHEV. B-PHEV is used as a benchmark to evaluate the size-optimized and power-optimized performance of H-PHEV
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