Research on Control Strategy of the Bidirectional Full-bridge DC/DC Converter Used in Electric Vehicles

Abstract

This paper designed a DC/DC converter used in electric vehicles. The control strategy of phase shifted full-bridge was used. The dynamic model of DC/DC controller was analyzed by using small signal analysis method. The ZVS character and the power loss of the transformer were analyzed by simulation. Experimental results showed the validity of the model and the effectiveness of the method.

Optimal energy management strategies for the electric vehicles compiling bibliometric maps

“…Highlighting one of the most important problems, the degradation of the energy sources, Yue et al 79 analyze multiple energy strategies and their contribution to the process, and with it they develop a health‐conscious energy management strategy with accurate estimations. Wang et al 80 design a new DC/DC converter for electric vehicles. They used the control strategy of phase‐shifted full‐bridge and made analyses with the method of small signal analyses.…”

“…Several types of classifications of energy management strategies have been suggested in the revised literature considering the criteria of taxonomy, advantages and disadvantages, the natural‐inspired algorithm used, performance obtained, etc. In the following sections, we built two classifications: the first is based on the type of algorithm, and the second is based on the goal they seek to optimize. Rule‐based strategies Fuzzy control strategy 42,76,80,82 State machine control strategy 84 Classical PI control strategy 37,43,47,48,52‐55,58,60,65,67,69,79 Power prediction 24,30,47,87,89,91 Unscented Kalman filter 61 Optimisation‐based strategies Pontryagin's minimum principle (PMP) 39,64 Quadratic programming (QPo) 38,56,86 Stochastic dynamic programming (SDP) 71,92 Multi‐mode predictive 68,90 Dynamic particle swarm optimization 28,83 Equivalent consumption minimization strategy (ECMS) 31,38,41,98 Dynamic programming (DP) 25,59,64 Genetic algorithm (GA) 40,43,76 Efficiency optimization strategy 27,29,36,57,85,93,96 Learning‐based strategies Reinforcement learning 33,62,74 Hybrid 32,46,49,63,66,70,72,73,75,77,78,81,88,95,97 …”

“…Compared to the problems and strategies raised in the previews 77 references [24–97, 100–102], critically commented by the authors in their work using tools as tables, diagrams, and figures, the actual problems and requests, identified from the reviewed literature from 2019 and 2020, evolved with the trends, and they are more specific and harder to archive.…”

Review of development and application of bidirectional LLC converter

“…12 New energy vehicle power system structure diagram [22] The second major challenge for new energy vehicles is that electric vehicle chargers need to be sufficiently energy-efficient, efficient and have high power density. The half-bridge three-level LLC resonant converter can not only meet the high voltage and high power [24], but also realize the high-frequency soft switching technology, which reduces the loss of the switching tube. It can be applied to the electric vehicle charger to improve the charging efficiency of the charger, which has good application prospects due to its efficiency and power factor.…”

Research on the output voltage control of the Dual active bridge converter

“…Here, on the basis of load disturbance and input voltage disturbance, the closed-loop simulation model is constructed, and the correctness of the constructed model is verified by observing the simulation output waveform. Figure 1 shows the topology structure of the DAB converter [4] , where U 1 and U 2 are the DC voltage sources on both sides of the transformer. The primary and secondary sides of the transformer have a transformation ratio of n. The entire converter consists of H1 bridge on the primary side of the transformer composed of switch tubes S1-S4, H2 bridge on the secondary side of the transformer composed of S5-S8.…”