Determination of vehicle working modes for global optimization energy management and evaluation of the economic performance for a certain control strategy

• Published in: Energy (Oxford) Vol. 251; p. 123825
• Main Authors: Xu, Nan, Kong, Yan, Zhang, Yuanjian, Yue, Fenglai, Sui, Yan, Li, Xiaohan, Liu, Heng, Xu, Zhe
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 15.07.2022; Elsevier BV
• Subjects: case studies; Conservation; Driving conditions; economic performance; Economic performance evaluation; Economics; Energy conservation; Energy conservation framework; Energy distribution; Energy management; Global optimization; Hybrid vehicles; Identification factor; Mathematical models; Numerical methods; Performance indices; Potential energy; Powertrain topology; Topology; Work modes; Work modes; Identification factor; Energy conservation framework; Energy management; Economic performance evaluation; Powertrain topology
• DOI: 10.1016/j.energy.2022.123825
• ISSN: 0360-5442

As the physical subject, determining vehicle operating modes is a prerequisite for implementing global optimization energy management. To avoid the case study of different vehicle configurations, a “kinetic/potential energy & onboard energy” conservation framework is proposed to determine vehicle working modes. Firstly, typical topologies and existing work modes for hybrid vehicles with different architectures are summarized. As a numerical method, the state space is meshed, which is restricted by introducing trip information. Then, a “kinetic/potential energy & onboard energy” conservation framework is established to determine the work mode between any reachable state points. By combining external factors, internal factors and additional factors reasonably and feasibly, various trigger conditions are generated to realize the one-to-one mapping between work mode and driving condition, which standardizes the DP optimizing process. Correspondingly, the stage cost and control are determined to achieve the optimal energy distribution. Finally, regarding DP strategy as a benchmark, multiple evaluation indexes are proposed to evaluate the utilization ratio of a control strategy to global trip information. An example is given to evaluate the optimal rule-based strategy. The higher the index is, the higher the similarity with the DP strategy is, and the higher the economic performance of the vehicle is. •An energy conservation framework is established to determine work modes.•An efficient global optimization algorithm is proposed.•Multiple indexes are proposed to evaluate the energy-saving potential.